Triple

T1344295
Position Surface form Disambiguated ID Type / Status
Subject Cardiff Queen Street E28533 entity
Predicate servesDestination P2066 FINISHED
Object Coryton E170133 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: Coryton | Statement: [Cardiff Queen Street, servesDestination, Coryton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coryton
Context triple: [Cardiff Queen Street, servesDestination, Coryton]
  • A. Coryton chosen
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • B. Crowland
    Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
  • C. Cadoxton
    Cadoxton is a village and community in Neath Port Talbot, Wales, known for its residential character and proximity to the town of Neath.
  • D. Yattendon
    Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
  • E. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c48e6534819090d23f3cc25093ae completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad231f92bc8190be41c30adb022b65 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:56 p.m.