Triple

T13382940
Position Surface form Disambiguated ID Type / Status
Subject Custard Factory area in Digbeth E319363 entity
Predicate locatedIn P40 FINISHED
Object Digbeth E321594 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: Digbeth | Statement: [Custard Factory area in Digbeth, locatedIn, Digbeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digbeth
Context triple: [Custard Factory area in Digbeth, locatedIn, Digbeth]
  • A. Digbeth chosen
    Digbeth is a historic inner-city district of Birmingham, England, known for its industrial heritage and vibrant creative and nightlife scenes.
  • B. Brierley Hill
    Brierley Hill is a town in the West Midlands of England, historically part of the industrial Black Country and known for its glassmaking and manufacturing heritage.
  • C. Selly Oak
    Selly Oak is a suburban area of Birmingham, England, known for its residential neighborhoods, local shopping amenities, and proximity to the University of Birmingham.
  • D. Clopton
    Clopton is a small rural village and civil parish located in the English county of Suffolk.
  • E. Birmingham Hodge Hill
    Birmingham Hodge Hill is a parliamentary constituency and urban area in the east of Birmingham, England, encompassing diverse residential districts and local commercial centers.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.