Triple

T11146315
Position Surface form Disambiguated ID Type / Status
Subject IRS-P6 E263677 entity
Predicate payload P12202 FINISHED
Object AWiFS
AWiFS (Advanced Wide Field Sensor) is a medium-resolution, wide-swath imaging sensor used on Indian remote sensing satellites for large-area land and vegetation monitoring.
 E906768 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: AWiFS | Statement: [IRS-P6, payload, AWiFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AWiFS
Context triple: [IRS-P6, payload, AWiFS]
  • A. WIF
    WIF is the ICAO airline designator assigned to Widerøe, a regional airline based in Norway.
  • B. WFS
    WFS (Web Feature Service) is an OGC standard web service that provides access to and manipulation of geographic features over the internet in vector form.
  • C. WIJ
    WIJ is the National Rail station code for Willesden Junction, a major interchange station in northwest London served by both Overground and mainline rail services.
  • D. WISPR
    WISPR is the wide-field imaging instrument aboard NASA’s Parker Solar Probe that captures visible-light images of the Sun’s corona and solar wind.
  • E. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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: AWiFS
Triple: [IRS-P6, payload, AWiFS]
Generated description
AWiFS (Advanced Wide Field Sensor) is a medium-resolution, wide-swath imaging sensor used on Indian remote sensing satellites for large-area land and vegetation monitoring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AWiFS
Target entity description: AWiFS (Advanced Wide Field Sensor) is a medium-resolution, wide-swath imaging sensor used on Indian remote sensing satellites for large-area land and vegetation monitoring.
  • A. WIF
    WIF is the ICAO airline designator assigned to Widerøe, a regional airline based in Norway.
  • B. WFS
    WFS (Web Feature Service) is an OGC standard web service that provides access to and manipulation of geographic features over the internet in vector form.
  • C. WIJ
    WIJ is the National Rail station code for Willesden Junction, a major interchange station in northwest London served by both Overground and mainline rail services.
  • D. WISPR
    WISPR is the wide-field imaging instrument aboard NASA’s Parker Solar Probe that captures visible-light images of the Sun’s corona and solar wind.
  • E. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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.