Triple

T2373157
Position Surface form Disambiguated ID Type / Status
Subject IRS series E46134 entity
Predicate hasMember P10 FINISHED
Object IRS-P5
IRS-P5 is an Indian remote sensing satellite in the IRS series, designed primarily for cartographic and resource management applications.
 E267328 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: IRS-P5 | Statement: [IRS series, hasMember, IRS-P5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IRS-P5
Context triple: [IRS series, hasMember, IRS-P5]
  • A. IRS-P2
    IRS-P2 is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • B. IRS-P4
    IRS-P4 is an Indian remote sensing satellite used primarily for ocean and coastal monitoring as part of the IRS (Indian Remote Sensing) satellite series.
  • C. IRS-P3
    IRS-P3 is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • D. IRS-P6
    IRS-P6, also known as Resourcesat-1, is an Indian Earth observation satellite designed for resource monitoring and management, including agriculture, forestry, and land-use mapping.
  • E. IRS-1D
    IRS-1D is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • 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: IRS-P5
Triple: [IRS series, hasMember, IRS-P5]
Generated description
IRS-P5 is an Indian remote sensing satellite in the IRS series, designed primarily for cartographic and resource management applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IRS-P5
Target entity description: IRS-P5 is an Indian remote sensing satellite in the IRS series, designed primarily for cartographic and resource management applications.
  • A. IRS-P2
    IRS-P2 is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • B. IRS-P4
    IRS-P4 is an Indian remote sensing satellite used primarily for ocean and coastal monitoring as part of the IRS (Indian Remote Sensing) satellite series.
  • C. IRS-P3
    IRS-P3 is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • D. IRS-P6
    IRS-P6, also known as Resourcesat-1, is an Indian Earth observation satellite designed for resource monitoring and management, including agriculture, forestry, and land-use mapping.
  • E. IRS-1D
    IRS-1D is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc772bc6081908244e9af4bbe645f completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef094fd8081909fc9a19f3e36c0d0 completed March 9, 2026, 4:08 p.m.
NEDg Description generation batch_69aef252765081909e36c8355cb14c18 completed March 9, 2026, 4:16 p.m.
NED2 Entity disambiguation (via description) batch_69aef5b78e248190b1f064f3942a24ff completed March 9, 2026, 4:30 p.m.
Created at: March 4, 2026, 7:56 p.m.