Triple

T19490860
Position Surface form Disambiguated ID Type / Status
Subject Halesowen E487644 entity
Predicate partOf P40 FINISHED
Object Black Country 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: Black Country | Statement: [Halesowen, partOf, Black Country]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Country
Context triple: [Halesowen, partOf, 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. Black Country Route
    The Black Country Route is a major road in England’s West Midlands that provides a key dual carriageway link through the Black Country, improving access between towns such as Bilston and the wider motorway network.
  • C. Black Country Rock
    Black Country Rock is an independent record label founded by country-rock musician Shooter Jennings, known for releasing genre-blending and alternative country music.
  • D. Bad Country
    Bad Country is a 2014 American crime thriller film about a contract killer who turns informant against a powerful crime syndicate.
  • E. 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.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348d43448190bf83680522b8b415 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.