Triple

T11514011
Position Surface form Disambiguated ID Type / Status
Subject Colne Valley E272983 entity
Predicate containsSettlement P847 FINISHED
Object Booth E21232 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: Booth | Statement: [Colne Valley, containsSettlement, Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Booth
Context triple: [Colne Valley, containsSettlement, Booth]
  • A. Booth chosen
    Booth is a common English surname historically associated with notable figures in theater, politics, and American history.
  • B. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • C. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • D. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • E. Burris
    Burris is a surname and given name, often considered a variant of "Burr," borne by various individuals across sports, politics, and entertainment.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db8bf9c8190820c289e6b0c3873 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e625143a608190a1119b30c08df0fd completed April 20, 2026, 1:07 p.m.
Created at: April 8, 2026, 9:36 p.m.