Triple

T8063715
Position Surface form Disambiguated ID Type / Status
Subject Thomas Tickell E188188 entity
Predicate birthPlace P1 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: [Thomas Tickell, birthPlace, Cumberland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumberland
Context triple: [Thomas Tickell, birthPlace, Cumberland]
  • A. Cumberland
    Cumberland is a suburban town in northeastern Rhode Island known for its residential communities, historic mill villages, and proximity to Providence.
  • B. Cumberland
    Cumberland is a Chicago Transit Authority rapid transit station on the Blue Line serving the city's Northwest Side and nearby suburbs.
  • C. Cumberland
    Cumberland is a small town that forms part of the suburban communities within the Indianapolis metropolitan area in Indiana.
  • D. Cumberland chosen
    Cumberland is a historic county in northwestern England, bordering Scotland and encompassing part of the Lake District.
  • E. Calvert
    Calvert is a given name most notably borne by Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fce95f08190b803956a20082e95 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63de88fc8190ac2c46edca324cec completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.