Triple

T7473916
Position Surface form Disambiguated ID Type / Status
Subject Clydesdale E176580 entity
Predicate contains P35 FINISHED
Object Biggar E368369 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: Biggar | Statement: [Clydesdale, contains, Biggar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biggar
Context triple: [Clydesdale, contains, Biggar]
  • A. Biggar chosen
    Biggar is a small historic market town in Scotland known for its traditional high street, museums, and annual cultural events.
  • B. Biggar
    Biggar is a small coastal settlement on Walney Island in Cumbria, England, known for its traditional village character and proximity to the Irish Sea.
  • C. Arbirlot
    Arbirlot is a small rural village in the Angus council area of eastern Scotland, known for its historic parish church and scenic countryside setting near the North Sea coast.
  • D. Penicuik
    Penicuik is a small Scottish town situated to the south of Edinburgh, known historically for its paper mills and proximity to the Pentland Hills.
  • E. Glenfarg
    Glenfarg is a small village in Perth and Kinross, Scotland, known for its rural setting and proximity to major transport routes between Perth and Kinross.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f417fbb48190b134eaf1da1b4289 completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0b12e42e48190b62b772d150117f2 completed April 4, 2026, 6:35 a.m.
Created at: March 27, 2026, 3:41 p.m.