Triple

T10464776
Position Surface form Disambiguated ID Type / Status
Subject Dacre family E246762 entity
Predicate associatedWith P37 FINISHED
Object Cumberland E53833 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: Cumberland | Statement: [Dacre family, associatedWith, Cumberland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumberland
Context triple: [Dacre family, associatedWith, Cumberland]
  • A. Cumberland chosen
    Cumberland is a historic county in northwestern England, bordering Scotland and encompassing part of the Lake District.
  • B. Cumberland
    Cumberland is a suburban town in northeastern Rhode Island known for its residential communities, historic mill villages, and proximity to Providence.
  • C. Cumberland
    Cumberland is a Chicago Transit Authority rapid transit station on the Blue Line serving the city's Northwest Side and nearby suburbs.
  • D. Cumberland
    Cumberland is a small town that forms part of the suburban communities within the Indianapolis metropolitan area in Indiana.
  • E. Cumberland
    Cumberland is a small village and former coal-mining community in British Columbia, Canada, known for its rich labour history and proximity to outdoor recreation on Vancouver Island.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fd865688190b0b5708481f397f4 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.