Triple

T19734866
Position Surface form Disambiguated ID Type / Status
Subject Umaria district E473951 entity
Predicate hasTigerPopulation P30476 FINISHED
Object yes 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: yes | Statement: [Umaria district, hasTigerPopulation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTigerPopulation
Context triple: [Umaria district, hasTigerPopulation, yes]
  • A. hasWildPopulationOf chosen
    Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
  • B. designatedAsTigerReserve
    Indicates that an area has been officially declared and assigned the status of a tiger reserve for the purpose of tiger conservation.
  • C. hasWildlifeStatus
    Indicates the conservation or protection status assigned to wildlife associated with an entity.
  • D. isPredatorFree
    Indicates that an entity exists in an environment or state where predators are absent or pose no threat.
  • E. hasReptileSpecies
    Indicates that one entity possesses, contains, or is associated with a reptile species as part of its characteristics or composition.
  • F. None of above.

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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69e5304a7aac8190ac13f75f0c008e45 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:47 p.m.