Triple

T12706021
Position Surface form Disambiguated ID Type / Status
Subject Turville Heath E303587 entity
Predicate locatedNear P294 FINISHED
Object Turville E303582 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: Turville | Statement: [Turville Heath, locatedNear, Turville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turville
Context triple: [Turville Heath, locatedNear, Turville]
  • A. Turville chosen
    Turville is a small, picturesque village and civil parish in Buckinghamshire, England, known for its traditional Chilterns landscape and frequent use as a filming location.
  • B. Thankerton
    Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
  • C. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • D. Terville
    Terville is a small commune in northeastern France’s Grand Est region, situated near the city of Thionville in the Moselle department.
  • E. Piltown
    Piltown is a village in County Kilkenny, Ireland, known for its agricultural show, historic tower, and location near the River Suir.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961f1adec8190a53c80e9556b3fe0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e43424819080659ab152caae52 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:23 p.m.