Triple

T11001718
Position Surface form Disambiguated ID Type / Status
Subject NavIC satellites E260017 entity
Predicate numberOfInclinedGeosynchronousSatellites P96942 FINISHED
Object 4 LITERAL 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: 4 | Statement: [NavIC satellites, numberOfInclinedGeosynchronousSatellites, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfInclinedGeosynchronousSatellites
Context triple: [NavIC satellites, numberOfInclinedGeosynchronousSatellites, 4]
  • A. numberOfSatellites
    Indicates the quantity of satellites that are associated with or orbit a given entity.
  • B. numberOfGEOSatellitesPlanned
    Indicates the planned quantity of GEO (geostationary) satellites associated with a given entity or mission.
  • C. numberOfOrbitalPlanes
    Indicates the specific count of distinct orbital planes associated with an object or system.
  • D. minimumOperationalSatellites
    Indicates the smallest number of satellites required for a system or mission to function at its intended operational capacity.
  • E. plannedSatellites
    Indicates that certain satellites are intended or scheduled to be launched, deployed, or put into operation in association with a given entity or context.
  • F. None of above. chosen

Provenance (4 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d760008190930228fa77b61b8b completed April 9, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69d72e96be6c8190a46c69f61b2d8cd4 completed April 9, 2026, 4:44 a.m.
PDg Predicate description generation batch_69d733b27ffc81908ab1b8df198cd5c7 completed April 9, 2026, 5:05 a.m.
Created at: April 8, 2026, 9:25 p.m.