Triple

T4389505
Position Surface form Disambiguated ID Type / Status
Subject Dr. Cavor E99326 entity
Predicate travelsWith P881 FINISHED
Object Bedford unclear NED1 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: Bedford | Statement: [Dr. Cavor, travelsWith, Bedford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedford
Context triple: [Dr. Cavor, travelsWith, Bedford]
  • A. Bedford
    Bedford is a suburban community within the Halifax Regional Municipality in Nova Scotia, Canada, known for its residential areas and waterfront along the Bedford Basin.
  • B. Bedford
    Bedford is a historic market town and the county town of Bedfordshire in eastern England, situated on the River Great Ouse.
  • C. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • D. Woburn
    Woburn is a historic village in Bedfordshire, England, best known for Woburn Abbey and its associated safari park and estate.
  • E. Woburn
    Woburn is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and mix of high-rise apartments and single-family homes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35282cb2c8190856da20bb87e88ff completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ec77d081909b07ebd004be136f completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:19 p.m.