Triple

T6194128
Position Surface form Disambiguated ID Type / Status
Subject Ellesmere E138467 entity
Predicate hasPostTown P2711 FINISHED
Object ELLESMERE E138467 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: ELLESMERE | Statement: [Ellesmere, hasPostTown, ELLESMERE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ELLESMERE
Context triple: [Ellesmere, hasPostTown, ELLESMERE]
  • A. Ellesmere chosen
    Ellesmere is a small market town in Shropshire, England, known for its nearby glacial meres and scenic rural surroundings.
  • B. Leamouth
    Leamouth is a riverside district in East London where the River Lea meets the River Thames, known for its former industrial docks and recent waterside redevelopment.
  • C. Barrow
    Barrow is a village and civil parish in the county of Suffolk in eastern England.
  • D. Barrow
    Barrow is the former English name of Utqiaġvik, a remote Arctic coastal city in northern Alaska known as one of the northernmost settlements in the United States.
  • E. Barrow
    Barrow is a small village and civil parish in Lancashire, England, situated within the Ribble Valley district.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1c162081909cf34e827f1bd7d7 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.