Triple

T11146176
Position Surface form Disambiguated ID Type / Status
Subject IRS-1C E263674 entity
Predicate payload P12202 FINISHED
Object LISS-III
LISS-III is a multispectral imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
 E906764 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: LISS-III | Statement: [IRS-1C, payload, LISS-III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LISS-III
Context triple: [IRS-1C, payload, LISS-III]
  • A. LISS-II
    LISS-II is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
  • B. LISS-I
    LISS-I is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
  • C. 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.
  • 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. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • 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: LISS-III
Triple: [IRS-1C, payload, LISS-III]
Generated description
LISS-III is a multispectral imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LISS-III
Target entity description: LISS-III is a multispectral imaging sensor used on Indian Remote Sensing satellites to capture medium-resolution Earth observation data for applications such as land use, agriculture, and forestry.
  • A. LISS-II
    LISS-II is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
  • B. LISS-I
    LISS-I is a multispectral imaging sensor used on early Indian Remote Sensing (IRS) satellites to capture medium-resolution Earth observation data for applications like agriculture and land-use mapping.
  • C. 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.
  • 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. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • 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.