Triple

T21634431
Position Surface form Disambiguated ID Type / Status
Subject Sir David Baxter E533918 entity
Predicate placeOfOrigin P3743 FINISHED
Object Fife 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: Fife | Statement: [Sir David Baxter, placeOfOrigin, Fife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fife
Context triple: [Sir David Baxter, placeOfOrigin, Fife]
  • A. Fife
    Fife is a small city in Pierce County, Washington, known as a suburban community near Tacoma with significant commercial and industrial activity.
  • B. Fife chosen
    Fife is a historic council area and peninsula on Scotland’s east coast, known for its coastal towns, medieval heritage, and the university city of St Andrews.
  • C. East Neuk of Fife
    East Neuk of Fife is a picturesque coastal region in eastern Scotland known for its historic fishing villages, sandy beaches, and scenic views across the Firth of Forth.
  • D. Stirlingshire
    Stirlingshire is a historic county in central Scotland centered on the city of Stirling, known for its strategic location and rich medieval and early modern history.
  • E. Ayrshire
    Ayrshire is a historic county and coastal region in southwest Scotland known for its agriculture, seaside towns, and associations with poet Robert Burns.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52192e388190a3f316e33f452561 completed April 27, 2026, 12:10 p.m.
Created at: April 16, 2026, 6:35 p.m.