Triple

T1779327
Position Surface form Disambiguated ID Type / Status
Subject Arbroath E39252 entity
Predicate hasNearbyTown P3883 FINISHED
Object Montrose E27714 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: Montrose | Statement: [Arbroath, hasNearbyTown, Montrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montrose
Context triple: [Arbroath, hasNearbyTown, Montrose]
  • A. Montrose
    Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
  • B. Montrose chosen
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • C. Montrose
    Montrose is a vibrant, artsy neighborhood in Houston, Texas, known for its eclectic culture, historic homes, and diverse community.
  • D. Park Hill
    Park Hill is a historic residential neighborhood in southwest Yonkers, New York, known for its early 20th-century architecture and hillside views of the Hudson River.
  • E. Elgin
    Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e07bd081908e442c1004cdad61 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9a14a18819090b83b3d10304c74 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:31 p.m.