Triple

T17643027
Position Surface form Disambiguated ID Type / Status
Subject Horndean E429284 entity
Predicate locatedNear P294 FINISHED
Object Waterlooville 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: Waterlooville | Statement: [Horndean, locatedNear, Waterlooville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterlooville
Context triple: [Horndean, locatedNear, Waterlooville]
  • A. Waterlooville chosen
    Waterlooville is a town in Hampshire, England, situated north of Portsmouth and known primarily as a residential and commuter area.
  • B. Walmington-on-Sea
    Walmington-on-Sea is a fictional English seaside town best known as the home of the bumbling Home Guard platoon in the Dad’s Army franchise.
  • C. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • D. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • E. Brightlingsea
    Brightlingsea is a coastal town in Essex, England, historically known for its maritime trade, shipbuilding, and association with the medieval Cinque Ports confederation.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.