Triple

T17642277
Position Surface form Disambiguated ID Type / Status
Subject Hockley railway station E429261 entity
Predicate serves P98 FINISHED
Object Hockley village 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: Hockley village | Statement: [Hockley railway station, serves, Hockley village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hockley village
Context triple: [Hockley railway station, serves, Hockley village]
  • A. Hockley chosen
    Hockley is a village in Essex, England, known for its residential character and rail links to London and Southend.
  • B. Hockley
    Hockley is a vibrant, historic district in Nottingham, England, known for its independent shops, bars, and creative cultural scene.
  • C. Hockley Heath
    Hockley Heath is a village in the Metropolitan Borough of Solihull in the West Midlands, England, known for its rural character and proximity to the M42 motorway.
  • D. Blackheath village
    Blackheath village is a small, picturesque settlement in Surrey, England, known for its rural charm, surrounding heathland, and traditional village character.
  • E. Talbot Village
    Talbot Village is a residential suburb in the Poole–Bournemouth urban area on England’s south coast, known for its mix of historic village character and proximity to local universities.
  • 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_69e46de645208190a40dcf443f8afd82 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.