Triple

T16900438
Position Surface form Disambiguated ID Type / Status
Subject Three Bridges railway station E424419 entity
Predicate connectsTo P845 FINISHED
Object Chichester E507306 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: Chichester | Statement: [Three Bridges railway station, connectsTo, Chichester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chichester
Context triple: [Three Bridges railway station, connectsTo, Chichester]
  • A. CHICHESTER chosen
    Chichester is a historic cathedral city in West Sussex, England, known for its Roman origins and well-preserved medieval architecture.
  • B. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • C. Fareham
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • D. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • E. Worthing
    Worthing is a small city in Lincoln County, South Dakota, known as a residential community within the Sioux Falls metropolitan area.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dbc6e48190be90066b82fc61db completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b273608190b552d8dc22bc51ef completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.