Triple

T8514299
Position Surface form Disambiguated ID Type / Status
Subject Hunsdon E201533 entity
Predicate civilParishOf P9019 FINISHED
Object Hunsdon E201533 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: Hunsdon | Statement: [Hunsdon, civilParishOf, Hunsdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunsdon
Context triple: [Hunsdon, civilParishOf, Hunsdon]
  • A. Hunsdon chosen
    Hunsdon is a rural village and civil parish in Hertfordshire, England, known for its historic airfield and countryside setting.
  • B. Haslingfield
    Haslingfield is a rural village and civil parish in the district of South Cambridgeshire in eastern England, known for its historic church and agricultural surroundings.
  • C. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • D. Bovingdon
    Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
  • E. Ampthill
    Ampthill is a historic market town in central England known for its Georgian architecture and surrounding Bedfordshire 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60e12848190a4a3dfa457aef275 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e56ef088190b4f938486bbb7962 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.