Triple

T1908830
Position Surface form Disambiguated ID Type / Status
Subject Hertfordshire E38060 entity
Predicate containsSettlement P847 FINISHED
Object Highfield E203735 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: Highfield | Statement: [Hertfordshire, containsSettlement, Highfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highfield
Context triple: [Hertfordshire, containsSettlement, Highfield]
  • A. Highfield
    Highfield is one of Harare’s oldest and most populous high-density suburbs, historically known as a center of political activism in Zimbabwe.
  • B. Highfield chosen
    Highfield is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
  • C. Hayfield
    Hayfield is a village in Derbyshire, England, known as a gateway to the Peak District and the moorland plateau of Kinder Scout.
  • D. Hope Valley
    Hope Valley is a scenic valley in England’s Peak District National Park, known for its picturesque villages, walking trails, and dramatic limestone and gritstone landscapes.
  • E. Moffat Hills
    Moffat Hills is a range of rolling, often rugged hills in southern Scotland known for hiking, scenic valleys, and remote upland landscapes.
  • 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_69adfbac4e18819081f6cfdf1cd7a03c completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:35 p.m.