Triple

T14846163
Position Surface form Disambiguated ID Type / Status
Subject Inverkeilor E349093 entity
Predicate between P1262 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: [Inverkeilor, between, Montrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montrose
Context triple: [Inverkeilor, between, 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
    Montrose is a residential neighborhood within the town of Wakefield in Middlesex County, Massachusetts.
  • C. Montrose
    Montrose is an American hard rock band formed in the early 1970s, best known for its influential debut album and for launching the career of vocalist Sammy Hagar.
  • D. Montrose chosen
    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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded29236dc8190b7d3a37d09f9fb21 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65010190819083ec051eb5d82839 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.