Triple

T19490868
Position Surface form Disambiguated ID Type / Status
Subject Halesowen E487644 entity
Predicate postalTown P2711 FINISHED
Object HALESOWEN 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: HALESOWEN | Statement: [Halesowen, postalTown, HALESOWEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HALESOWEN
Context triple: [Halesowen, postalTown, HALESOWEN]
  • A. Halesowen chosen
    Halesowen is a town in the West Midlands of England, historically part of Worcestershire, known for its industrial heritage and proximity to Birmingham.
  • B. Wednesbury
    Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
  • C. Solihull
    Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
  • D. Brownhills
    Brownhills is a town in the West Midlands of England, historically associated with coal mining and located near Walsall and Cannock Chase.
  • E. Smethwick
    Smethwick is an industrial town in the West Midlands of England, historically known for its role in the Industrial Revolution and later incorporated into the metropolitan borough of Sandwell.
  • 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.