Triple

T13339581
Position Surface form Disambiguated ID Type / Status
Subject Carlisle Events auto shows E317787 entity
Predicate city P40 FINISHED
Object Carlisle E167236 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: Carlisle | Statement: [Carlisle Events auto shows, city, Carlisle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlisle
Context triple: [Carlisle Events auto shows, city, Carlisle]
  • A. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • B. Carlisle chosen
    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. Salisbury
    Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
  • E. Salisbury
    Salisbury is a small Canadian village in southeastern New Brunswick known as a local service and residential community along the Petitcodiac River.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f1c2bac81909ac13624f7972919 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:31 p.m.