Triple

T122518
Position Surface form Disambiguated ID Type / Status
Subject ACM Student Chapters E2479 entity
Predicate typicalLocation P3231 FINISHED
Object university campus 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: university campus | Statement: [ACM Student Chapters, typicalLocation, university campus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalLocation
Context triple: [ACM Student Chapters, typicalLocation, university campus]
  • A. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • B. notableLocation
    Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
  • 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. mainLocation chosen
    Indicates that one entity serves as the primary or central location associated with another entity.
  • E. coordinateLocation
    Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a2573b4e7481909ee09d2899f8a74b completed Feb. 28, 2026, 2:47 a.m.
PD Predicate disambiguation batch_69a2564928208190966a619680a0d6e2 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.