Triple

T12750955
Position Surface form Disambiguated ID Type / Status
Subject Sanquhar E304726 entity
Predicate nearbySettlement P350 FINISHED
Object Thornhill E307330 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: Thornhill | Statement: [Sanquhar, nearbySettlement, Thornhill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thornhill
Context triple: [Sanquhar, nearbySettlement, Thornhill]
  • A. Thornhill
    Thornhill is a suburban community in the Greater Toronto Area known for its diverse population, residential neighborhoods, and proximity to Toronto.
  • B. Thornhill chosen
    Thornhill is a small village in Dumfries and Galloway, Scotland, known for its rural character and proximity to the River Nith.
  • C. Thornhill
    Thornhill is a residential and semi-rural neighbourhood located within the city of Maple Ridge in British Columbia, Canada.
  • D. Richmond Hill
    Richmond Hill is an Australian television soap opera produced in the late 1980s, known for its ensemble cast and suburban setting.
  • E. Richmond Hill
    Richmond Hill is a picturesque area in southwest London known for its famous panoramic views over the River Thames and surrounding landscape.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.