Triple

T6327625
Position Surface form Disambiguated ID Type / Status
Subject EGNOS E141897 entity
Predicate similarTo P4460 FINISHED
Object GAGAN E586562 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: GAGAN | Statement: [EGNOS, similarTo, GAGAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAGAN
Context triple: [EGNOS, similarTo, GAGAN]
  • A. GAGAN chosen
    GAGAN (GPS Aided GEO Augmented Navigation) is India’s satellite-based augmentation system that enhances the accuracy and reliability of GPS signals for aviation and other navigation applications.
  • B. INSAT-4G
    INSAT-4G is an Indian communications and meteorological satellite planned as part of the INSAT-4 series to support telecommunication, broadcasting, and weather services.
  • C. GSAT-19
    GSAT-19 is an Indian high-throughput communications satellite designed to test next-generation technologies and significantly enhance the country’s data transmission capabilities.
  • D. INSAT-4E
    INSAT-4E is an Indian communications satellite in the INSAT series, designed to provide telecommunication, broadcasting, and related 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e9532081908277f10ec380a486 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d3a68f881908de1d9e70e00cb02 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:29 p.m.