Triple

T1121074
Position Surface form Disambiguated ID Type / Status
Subject Lunan Bay E24611 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: [Lunan Bay, hasNearbyTown, Montrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montrose
Context triple: [Lunan Bay, hasNearbyTown, Montrose]
  • A. Montrose chosen
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • B. 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.
  • C. Elgin
    Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
  • D. Toa Alta
    Toa Alta is a municipality in northern Puerto Rico known for its suburban communities and integration into the greater San Juan metropolitan region.
  • E. Colma
    Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2e36fc081908de3b67293c7bbf6 completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:43 p.m.