Triple

T9662860
Position Surface form Disambiguated ID Type / Status
Subject Stourbridge E233628 entity
Predicate locatedIn P40 FINISHED
Object Black Country E110670 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: Black Country | Statement: [Stourbridge, locatedIn, Black Country]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Country
Context triple: [Stourbridge, locatedIn, Black Country]
  • A. Black Country chosen
    The Black Country is an industrial region in the West Midlands of England historically known for coal mining, ironworking, and heavy manufacturing.
  • B. Cruel Country
    Cruel Country is a 2022 double album by American rock band Wilco that explores country-inflected sounds through a loose, expansive song cycle.
  • C. The Country
    "The Country" is a short story by William Faulkner that explores life, class, and moral conflict in the rural American South.
  • D. Cumberland Blues
    "Cumberland Blues" is a country- and bluegrass-influenced Grateful Dead song known for its driving rhythm and lyrics about the struggles of working-class life.
  • E. The Beautiful South
    The Beautiful South was an English pop/rock band formed by former members of The Housemartins, known for their wry, melodic songs and chart success in the late 1980s and 1990s.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0cde048190b5a8e1548825d4d9 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a1422348190967943b0d4da8efd completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.