Triple

T1908774
Position Surface form Disambiguated ID Type / Status
Subject Hertfordshire E38060 entity
Predicate containsSettlement P847 FINISHED
Object London Colney E80395 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: London Colney | Statement: [Hertfordshire, containsSettlement, London Colney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Colney
Context triple: [Hertfordshire, containsSettlement, London Colney]
  • A. London Colney chosen
    London Colney is a village in Hertfordshire, England, best known in football for hosting Arsenal F.C.’s main training centre.
  • B. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • C. Saffron Walden
    Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
  • D. Ashtead
    Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
  • E. Gerrards Cross
    Gerrards Cross is an affluent commuter town in South Buckinghamshire, England, known for its leafy residential character and convenient rail links to central London.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b55edc8190bce8ac97196939a9 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeafdad3c8190be7aeaed8bdeac43 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.