Triple

T14510518
Position Surface form Disambiguated ID Type / Status
Subject Khalifa International Stadium E340382 entity
Predicate hasCoolingTechnology P11564 FINISHED
Object air-conditioned spectator areas 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: air-conditioned spectator areas | Statement: [Khalifa International Stadium, hasCoolingTechnology, air-conditioned spectator areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCoolingTechnology
Context triple: [Khalifa International Stadium, hasCoolingTechnology, air-conditioned spectator areas]
  • A. hasCoolingFlow
    Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
  • B. hasCoolingSource
    Indicates that one entity provides or serves as a cooling source for another entity.
  • C. coolingRequirement
    Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
  • D. coolingMethod chosen
    Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
  • E. hasCoolingTowerType
    Indicates that an entity is associated with, or equipped with, a specific type or category of cooling tower.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69de5c4ccba08190a988bfda0bc9f5cb completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:21 a.m.