Triple

T11445551
Position Surface form Disambiguated ID Type / Status
Subject INSAT-2A E271253 entity
Predicate operator P179 FINISHED
Object INSAT E46133 NE FINISHED

How this triple was built (2 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: INSAT | Statement: [INSAT-2A, operator, INSAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INSAT
Context triple: [INSAT-2A, operator, INSAT]
  • A. INSAT series chosen
    The INSAT series is a fleet of Indian multipurpose geostationary satellites that provide telecommunications, broadcasting, meteorology, and search-and-rescue services across the Indian subcontinent.
  • B. INSAT-1C
    INSAT-1C was an Indian geostationary communications satellite in the first-generation INSAT-1 series, used for telecommunications, broadcasting, and meteorological services.
  • C. INSAT-4A
    INSAT-4A is an Indian communications satellite in the INSAT series, used primarily for telecommunications and broadcasting services.
  • D. INSAT-4CR
    INSAT-4CR is an Indian communications satellite in the INSAT series, launched by ISRO to provide telecommunication and broadcasting services.
  • E. INSAT-3DS
    INSAT-3DS is an Indian geostationary meteorological and communication satellite in the INSAT series, designed to support weather forecasting, disaster warning, and environmental monitoring.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088a66f48190b2b4a56cd62097cf completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e624782cf88190b696a1c7c9a56395 completed April 20, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:35 p.m.