Triple

T2262211
Position Surface form Disambiguated ID Type / Status
Subject University of the Highlands and Islands E50063 entity
Predicate campus P269 FINISHED
Object Elgin E141361 NE 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: Elgin | Statement: [University of the Highlands and Islands, campus, Elgin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elgin
Context triple: [University of the Highlands and Islands, campus, Elgin]
  • A. Elgin chosen
    Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
  • B. Elgin, Illinois
    Elgin, Illinois is a city in the northwest suburbs of Chicago known for its historic architecture, diverse population, and location along the Fox River.
  • C. Montrose
    Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
  • D. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • E. Montrose
    Montrose is a vibrant, artsy neighborhood in Houston, Texas, known for its eclectic culture, historic homes, and diverse community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18be8308190abc4a59d37dfd93a completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cdacb48190bc11e9e0e6b61ba0 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:48 p.m.