Triple

T13584429
Position Surface form Disambiguated ID Type / Status
Subject Wenhaston E324509 entity
Predicate partOf P40 FINISHED
Object Wenhaston with Mells Hamlet E324509 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: Wenhaston with Mells Hamlet | Statement: [Wenhaston, partOf, Wenhaston with Mells Hamlet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenhaston with Mells Hamlet
Context triple: [Wenhaston, partOf, Wenhaston with Mells Hamlet]
  • A. Wenhaston chosen
    Wenhaston is a rural village and civil parish in eastern England, known for its historic church and scenic Suffolk countryside setting.
  • B. Doyleston
    Doyleston is a small rural settlement in the Canterbury region of New Zealand’s South Island.
  • C. Ashton Mill
    Ashton Mill is a historic textile mill complex in Cumberland, Rhode Island, known for its role in New England’s 19th-century industrial development.
  • D. Mendlesham
    Mendlesham is a rural village and civil parish in Suffolk, England, known for its historic church and traditional village character.
  • E. Wadesmill
    Wadesmill is a small village in Hertfordshire, England, known historically as a coaching stop on the old Great North Road.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc148d08190821614a866d1a7f0 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.