Triple

T15275418
Position Surface form Disambiguated ID Type / Status
Subject Beethoven E365124 entity
Predicate featuresAnimal P2829 FINISHED
Object St. Bernard E389405 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: St. Bernard | Statement: [Beethoven, featuresAnimal, St. Bernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Bernard
Context triple: [Beethoven, featuresAnimal, St. Bernard]
  • A. St. Bernard
    St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
  • B. Saint Bernard
    Saint Bernard is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and vulnerability to landslides and typhoons.
  • C. St Bernard chosen
    The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
  • D. San Bernardinian
    San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
  • E. San Bernardo
    San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee608217881909c9f7f7c753cf0a8 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.