Triple

T1426328
Position Surface form Disambiguated ID Type / Status
Subject Stirlingshire E30339 entity
Predicate hasMajorSettlement P316 FINISHED
Object Bridge of Allan E134321 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: Bridge of Allan | Statement: [Stirlingshire, hasMajorSettlement, Bridge of Allan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridge of Allan
Context triple: [Stirlingshire, hasMajorSettlement, Bridge of Allan]
  • A. Bridge of Allan chosen
    Bridge of Allan is a small Scottish town in the Stirling council area, known for its Victorian spa heritage and picturesque setting near the River Allan.
  • B. Gifford
    Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
  • C. Glen Moy
    Glen Moy is one of the Angus Glens in eastern Scotland, known as a scenic valley characterized by its rugged hills and rural landscapes.
  • D. Pennington
    Pennington is a small borough in Mercer County, New Jersey, known for its historic character and residential community.
  • E. Tan Hall
    Tan Hall is a major academic and research building associated with the College of Chemistry at the University of California, Berkeley.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4be7d208190bcfb46239bd72e56 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016708bc8190af01b10a0f0d6942 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.