Triple

T4821632
Position Surface form Disambiguated ID Type / Status
Subject Portsmouth & Southsea railway station E107721 entity
Predicate providesServiceTo P82 FINISHED
Object Fareham E124893 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: Fareham | Statement: [Portsmouth & Southsea railway station, providesServiceTo, Fareham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fareham
Context triple: [Portsmouth & Southsea railway station, providesServiceTo, Fareham]
  • A. Fareham chosen
    Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
  • B. Havant
    Havant is a market town and borough in south-east England, situated between Portsmouth and Chichester near the south coast.
  • C. Folkestone
    Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
  • D. Margate
    Margate is a historic seaside resort town on the north coast of Kent in southeast England, known for its sandy beaches, amusement attractions, and vibrant arts scene.
  • E. Worthing
    Worthing is a large seaside town and resort on the south coast of England in West Sussex.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c99b46c8190b6fbcf9f98b9e993 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ce5808819093004d4ed42ed211 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:24 p.m.