Triple

T11146179
Position Surface form Disambiguated ID Type / Status
Subject IRS-1C E263674 entity
Predicate instrument P792 FINISHED
Object Linear Imaging Self-Scanning Sensor-III
Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
 E906766 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Linear Imaging Self-Scanning Sensor-III | Statement: [IRS-1C, instrument, Linear Imaging Self-Scanning Sensor-III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linear Imaging Self-Scanning Sensor-III
Context triple: [IRS-1C, instrument, Linear Imaging Self-Scanning Sensor-III]
  • A. Linear Imaging Self-Scanning Sensor-II
    Linear Imaging Self-Scanning Sensor-II is a satellite-borne linear array imaging sensor used for Earth observation, providing multispectral imagery for applications such as land use mapping and environmental monitoring.
  • B. Linear Imaging Self-Scanning Sensor-I
    Linear Imaging Self-Scanning Sensor-I (LISS-I) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
  • C. Solid-State Imaging camera
    The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
  • D. LISS-II sensor
    The LISS-II sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
  • E. LISS-I sensor
    The LISS-I sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Linear Imaging Self-Scanning Sensor-III
Triple: [IRS-1C, instrument, Linear Imaging Self-Scanning Sensor-III]
Generated description
Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linear Imaging Self-Scanning Sensor-III
Target entity description: Linear Imaging Self-Scanning Sensor-III (LISS-III) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution images for applications such as land use mapping, agriculture, and environmental monitoring.
  • A. Linear Imaging Self-Scanning Sensor-II
    Linear Imaging Self-Scanning Sensor-II is a satellite-borne linear array imaging sensor used for Earth observation, providing multispectral imagery for applications such as land use mapping and environmental monitoring.
  • B. Linear Imaging Self-Scanning Sensor-I
    Linear Imaging Self-Scanning Sensor-I (LISS-I) is a multispectral optical imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
  • C. Solid-State Imaging camera
    The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
  • D. LISS-II sensor
    The LISS-II sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
  • E. LISS-I sensor
    The LISS-I sensor is a multispectral imaging instrument used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture, forestry, and land-use mapping.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e86e9ef48190b4df4b14319a954f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4421d35f48190a5905fbab39f4015 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c0a9edc8190a184244ba63f1c8f completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4513731fc8190be0bae62d1e16e6f completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.