Triple

T7085364
Position Surface form Disambiguated ID Type / Status
Subject Project Tiger reserve E165060 entity
Predicate hasBufferArea P4190 FINISHED
Object buffer zone 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: buffer zone | Statement: [Project Tiger reserve, hasBufferArea, buffer zone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBufferArea
Context triple: [Project Tiger reserve, hasBufferArea, buffer zone]
  • A. hasWaitingArea
    Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
  • B. hasPortArea
    Indicates that an entity possesses or is associated with a specific port area, typically representing the spatial extent or boundary of its port facilities.
  • C. 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.
  • D. hasWorkArea
    Indicates that one entity possesses, is assigned, or is associated with a specific physical or conceptual work area.
  • E. hasCoreArea
    Indicates that an entity possesses a primary or central area that is fundamental to its structure, function, or focus.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e511535c819098f60de54930380f completed March 27, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69c6e1c172148190bf290c07bf579d1f completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:41 p.m.