Triple

T15124559
Position Surface form Disambiguated ID Type / Status
Subject Churchill Airport E361252 entity
Predicate hasCityServed P3936 FINISHED
Object Churchill E73626 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: Churchill | Statement: [Churchill Airport, hasCityServed, Churchill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Churchill
Context triple: [Churchill Airport, hasCityServed, Churchill]
  • A. Churchill
    Churchill is an English noble family best known for producing prominent statesmen and military leaders, most notably Winston Churchill and the Dukes of Marlborough.
  • B. Churchill chosen
    Churchill is a small northern Canadian town on the shores of Hudson Bay, famous for its polar bear and beluga whale populations and its role as a prime location for viewing the Northern Lights.
  • C. Churchill
    Churchill is a small village in Oxfordshire, England, known for its historic Cotswold stone buildings and rural setting.
  • D. Winston Churchill
    Winston Churchill was the British Prime Minister during World War II, renowned for his leadership, stirring speeches, and steadfast resistance to Nazi Germany.
  • E. Berton Churchill
    Berton Churchill was a Canadian-born American character actor of the early 20th century, known for his frequent portrayals of stern authority figures in Hollywood films.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f67f6c81909723c13255306668 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.