Triple

T719314
Position Surface form Disambiguated ID Type / Status
Subject Chicago Pile-1 E14380 entity
Predicate locatedInStructure P40 FINISHED
Object squash court under the West Stands of Stagg Field 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: squash court under the West Stands of Stagg Field | Statement: [Chicago Pile-1, locatedInStructure, squash court under the West Stands of Stagg Field]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInStructure
Context triple: [Chicago Pile-1, locatedInStructure, squash court under the West Stands of Stagg Field]
  • A. locatedIn chosen
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • B. locatedUnder
    Indicates that one entity is positioned directly or generally beneath another entity in space.
  • C. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • D. locatedInGovernmentBody
    Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
  • E. partlyLocatedOn
    Indicates that one entity is situated such that only a portion of it lies on or within the spatial extent of another entity.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58d4c3c8190ad4527d14bca5e6e completed March 1, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69a4a4f513608190b716b939d574c292 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.