Triple

T8099716
Position Surface form Disambiguated ID Type / Status
Subject Birmingham Ladywood E189077 entity
Predicate contains P35 FINISHED
Object Nechells ward E319359 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: Nechells ward | Statement: [Birmingham Ladywood, contains, Nechells ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nechells ward
Context triple: [Birmingham Ladywood, contains, Nechells ward]
  • A. Nechells chosen
    Nechells is an inner-city district of Birmingham, England, known for its industrial heritage and residential neighborhoods.
  • B. Baguley ward
    Baguley ward is a local electoral division within the City of Manchester, England, represented on the city council.
  • C. Uplands ward
    Uplands ward is an electoral district within the city and county of Swansea in Wales, known for its residential areas, local amenities, and proximity to Swansea’s city centre.
  • D. Dunvant ward
    Dunvant ward is an electoral division and suburban area within the City and County of Swansea in south Wales.
  • E. Collyhurst
    Collyhurst is an inner-city district of Manchester, England, known historically for its red sandstone quarries and working-class residential character.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42ba9af88190b6310d799818e3d5 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc641d96e88190adee974b79d5fc05 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:31 p.m.