Triple

T9831384
Position Surface form Disambiguated ID Type / Status
Subject Much Hoole E238991 entity
Predicate civilParish P2739 FINISHED
Object Much Hoole E238991 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: Much Hoole | Statement: [Much Hoole, civilParish, Much Hoole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Much Hoole
Context triple: [Much Hoole, civilParish, Much Hoole]
  • A. Much Hoole chosen
    Much Hoole is a small rural village and civil parish in Lancashire, England, situated in the borough of South Ribble.
  • B. Caudale Moor
    Caudale Moor is a fell in the Lake District of Cumbria, England, known for its broad grassy summit and views over the surrounding valleys and passes.
  • C. Crow Holme
    Crow Holme is a small island in Windermere in England’s Lake District, situated close to the larger island of Belle Isle.
  • D. Wear Valley
    Wear Valley is a district in County Durham, England, characterized by its rural landscapes, former mining communities, and the course of the River Wear running through it.
  • E. Nenthead
    Nenthead is a remote former lead-mining village in Cumbria, England, known for its high altitude, industrial heritage, and surrounding moorland 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3297bd88190bf8c53a4ba00e0ae completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e41e1b8081908ef5bb31c27c5264 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:32 p.m.