Triple

T20180690
Position Surface form Disambiguated ID Type / Status
Subject EX postcode area E492717 entity
Predicate coversTown P847 FINISHED
Object Honiton NE NERFINISHED

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: Honiton | Statement: [EX postcode area, coversTown, Honiton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honiton
Context triple: [EX postcode area, coversTown, Honiton]
  • A. Honiton chosen
    Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
  • B. Thankerton
    Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
  • C. Totnes
    Totnes is a historic market town and former parliamentary borough in Devon, England, known for its rich heritage and independent, bohemian character.
  • D. Williton
    Williton is a large village and civil parish in Somerset, England, serving as an important local hub near the coast and the Quantock Hills.
  • E. Harvington
    Harvington is a village and civil parish in Worcestershire, England, known for its historic character and rural setting within the Wychavon district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668eed2e88190b54b15e6545dbdf8 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.