Triple

T169728
Position Surface form Disambiguated ID Type / Status
Subject Heart of America E3092 entity
Predicate hasLocationCharacteristic P274 FINISHED
Object central location in the United States 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: central location in the United States | Statement: [Heart of America, hasLocationCharacteristic, central location in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocationCharacteristic
Context triple: [Heart of America, hasLocationCharacteristic, central location in the United States]
  • A. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • B. 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).
  • C. hasCharacteristic chosen
    Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
  • D. coordinateLocation
    Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
  • E. notableLocation
    Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b82bdc81908ebd50fb05d511df completed Feb. 28, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a25665f5b8819096ca3e084faf976e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.