Triple

T18680121
Position Surface form Disambiguated ID Type / Status
Subject Wear Valley E456710 entity
Predicate administrativeHeadquarters P62 FINISHED
Object Crook NE NERFINISHED

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: Crook | Statement: [Wear Valley, administrativeHeadquarters, Crook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crook
Context triple: [Wear Valley, administrativeHeadquarters, Crook]
  • A. Crook chosen
    Crook is a small market town in County Durham, England, known historically for its coal mining heritage and rural surroundings.
  • B. Crook
    Crook is a surname most notably associated with English actor, writer, and director Mackenzie Crook.
  • C. Crooks
    Crooks is a small city in South Dakota, United States, situated just northwest of Sioux Falls and functioning largely as a residential community within the greater Sioux Falls area.
  • D. Crooks
    Crooks is the African American stable hand in John Steinbeck's novella "Of Mice and Men," whose isolation and experiences of racism highlight the themes of loneliness and social injustice.
  • E. Crooks
    Crooks is a surname of English origin borne by various notable individuals, including figures in politics, sports, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2783648190bb602e2b07eedf92 completed April 19, 2026, 10:45 p.m.
Created at: April 10, 2026, 11:48 a.m.