Triple

T15246222
Position Surface form Disambiguated ID Type / Status
Subject Egremont E364388 entity
Predicate hasPostTown P2711 FINISHED
Object WALLASEY E70000 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: WALLASEY | Statement: [Egremont, hasPostTown, WALLASEY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WALLASEY
Context triple: [Egremont, hasPostTown, WALLASEY]
  • A. Wallasey chosen
    Wallasey is a coastal town on the Wirral Peninsula in northwest England, situated at the mouth of the River Mersey opposite Liverpool.
  • B. Saltney
    Saltney is a town near the England–Wales border, close to Chester, known historically for its industrial activity and proximity to the River Dee.
  • C. Birkenhead
    Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
  • D. Birkenhead
    Birkenhead is a suburb of Adelaide in South Australia, known for its proximity to the Port River and maritime and industrial heritage.
  • E. Penarth
    Penarth is a seaside town in the Vale of Glamorgan, Wales, known for its Victorian pier, esplanade, and role as a filming location for various British television series.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:13 a.m.