Triple

T10712492
Position Surface form Disambiguated ID Type / Status
Subject Waterloo to Exeter Line E252573 entity
Predicate majorStation P1071 FINISHED
Object Honiton E137378 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: Honiton | Statement: [Waterloo to Exeter Line, majorStation, Honiton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honiton
Context triple: [Waterloo to Exeter Line, majorStation, 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. Harvington
    Harvington is a village and civil parish in Worcestershire, England, known for its historic character and rural setting within the Wychavon district.
  • E. Nonington
    Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe533ec081909eafab85f6f6d6b9 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d99917df2c819099be2a9b9c4a2ce7 completed April 11, 2026, 12:43 a.m.
Created at: April 8, 2026, 9:13 p.m.