Triple

T22778015
Position Surface form Disambiguated ID Type / Status
Subject Waterlooville E563756 entity
Predicate postTown P2711 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: [Waterlooville, postTown, WATERLOOVILLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WATERLOOVILLE
Context triple: [Waterlooville, postTown, 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. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • C. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • D. Portsmouth & Southsea
    Portsmouth & Southsea is a central railway station in the city of Portsmouth, England, serving as a key hub for regional and commuter rail services.
  • E. Southampton
    Southampton is a major port city on England’s south coast, historically significant for its maritime trade, shipbuilding, and role as a departure point for transatlantic voyages.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b631c6881908a6687920923dcf4 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:28 p.m.