Triple

T21778733
Position Surface form Disambiguated ID Type / Status
Subject A595 E537649 entity
Predicate connects P390 FINISHED
Object Carlisle 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: Carlisle | Statement: [A595, connects, Carlisle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlisle
Context triple: [A595, connects, Carlisle]
  • A. Carlisle chosen
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • B. Carlisle
    Carlisle is a historic borough in south-central Pennsylvania known for its military education institutions, colonial heritage, and role in the American Revolutionary era.
  • C. Carlisle
    Carlisle is a small city located in central Iowa, United States, known for its close-knit community and proximity to the Des Moines metropolitan area.
  • D. Carlisle
    Carlisle is a fictional vampire doctor and patriarch of the Cullen family in Stephenie Meyer's Twilight series.
  • E. Carlisle
    Carlisle is an English surname most notably associated with American singer Belinda Carlisle.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462b094c81908207073c278a58fe completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.