Triple

T4298852
Position Surface form Disambiguated ID Type / Status
Subject Hitchin E99782 entity
Predicate hasPostTown P2711 FINISHED
Object HITCHIN E99782 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: HITCHIN | Statement: [Hitchin, hasPostTown, HITCHIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HITCHIN
Context triple: [Hitchin, hasPostTown, HITCHIN]
  • A. Hitchin chosen
    Hitchin is a historic market town in Hertfordshire, England, known for its medieval streets, traditional markets, and proximity to the Chiltern Hills.
  • B. Hartington
    Hartington is a village and civil parish in Derbyshire, England, historically associated with the Cavendish family and the title Marquess of Hartington.
  • C. Harpenden
    Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
  • D. Wheathampstead
    Wheathampstead is a historic village and civil parish in Hertfordshire, England, known for its rural character and ancient archaeological sites.
  • E. Sawbridgeworth
    Sawbridgeworth is a historic market town in Hertfordshire, England, situated near the River Stort and known for its commuter links to London and surrounding countryside.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509d39348190aa83304661230cba completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c746c9108190a1a81e94b4768f3c completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.