Triple

T5241791
Position Surface form Disambiguated ID Type / Status
Subject Tadoba Andhari Tiger Reserve E118358 entity
Predicate hasBufferZone P4190 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: [Tadoba Andhari Tiger Reserve, hasBufferZone, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBufferZone
Context triple: [Tadoba Andhari Tiger Reserve, hasBufferZone, yes]
  • A. bufferZone chosen
    Indicates the existence of an area or region that serves as a protective or separating space between two or more entities or activities.
  • B. hasFreeZone
    Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
  • C. hasZone
    Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
  • D. bufferZoneHectares
    Indicates the size of the surrounding buffer zone measured in hectares.
  • E. hasUNESCOWorldHeritageBufferZone
    Indicates that an entity has an officially designated buffer zone associated with a UNESCO World Heritage site, typically providing additional protection around the core heritage area.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4c6fa8819099442b1b110e51fb completed March 20, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69bd77c1397c8190a7fd844d7a396e54 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:49 p.m.