Triple

T456579
Position Surface form Disambiguated ID Type / Status
Subject Tengiz Burjanadze Stadium E7245 entity
Predicate hasSpectatorArea P13691 FINISHED
Object stands 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: stands | Statement: [Tengiz Burjanadze Stadium, hasSpectatorArea, stands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpectatorArea
Context triple: [Tengiz Burjanadze Stadium, hasSpectatorArea, stands]
  • A. hasViewingPlatform
    Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
  • B. hasExhibitionArea
    Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
  • C. hasAreaType
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • D. hasProtectedArea
    Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
  • E. hasWaitingArea
    Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa1616481909399f92551a0c9e3 completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a2ede614b88190be07425f5535f56d completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2ee8b56d08190bd625626353d01b4 completed Feb. 28, 2026, 1:32 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.