Triple

T3329574
Position Surface form Disambiguated ID Type / Status
Subject Wallasey E70000 entity
Predicate contains P35 FINISHED
Object Seacombe E264863 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: Seacombe | Statement: [Wallasey, contains, Seacombe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seacombe
Context triple: [Wallasey, contains, Seacombe]
  • A. Seacombe chosen
    Seacombe is a riverside district and ferry terminal on the Wirral Peninsula in England, serving as a key Mersey crossing point to Liverpool.
  • B. Combe
    Combe is a small rural village in Oxfordshire, England, known for its traditional English countryside character and proximity to the River Evenlode.
  • C. Cambourne
    Cambourne is a modern, rapidly growing new town in Cambridgeshire, England, developed in the late 20th century and known for its planned residential communities and local amenities.
  • D. Farncombe
    Farncombe is a village in Surrey, England, situated just north of the town of Godalming.
  • E. Newbourne
    Newbourne is a small rural village and civil parish in the English county of Suffolk, known for its countryside setting and traditional village 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb171ee0881908642504ab0ac8329 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a810e2c8190bfc206bdeb1ac5b8 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.