Triple

T7679124
Position Surface form Disambiguated ID Type / Status
Subject Colum Eastwood E173942 entity
Predicate constituencyRepresented P192 FINISHED
Object Foyle E432060 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: Foyle | Statement: [Colum Eastwood, constituencyRepresented, Foyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foyle
Context triple: [Colum Eastwood, constituencyRepresented, Foyle]
  • A. Foyle chosen
    Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
  • B. Foynes
    Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
  • C. Foody
    Foody is the anthropomorphic, fruit-and-vegetable-themed character that served as the official mascot of Expo 2015 in Milan.
  • D. Freuchie
    Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
  • E. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701fe2cc88190b5fd5e1378c32e5b completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a248750481908f0de08aee78c9ba completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.