Triple

T7839128
Position Surface form Disambiguated ID Type / Status
Subject Anne Callowhill E181758 entity
Predicate familyName P18 FINISHED
Object Callowhill E304024 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: Callowhill | Statement: [Anne Callowhill, familyName, Callowhill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callowhill
Context triple: [Anne Callowhill, familyName, Callowhill]
  • A. Callowhill chosen
    Callowhill is a neighborhood in Philadelphia, Pennsylvania, known for its post-industrial character, loft-style buildings, and proximity to Center City and Northern Liberties.
  • B. Broomhill
    Broomhill is a residential area in Aberdeen, Scotland, known for its traditional granite housing and proximity to the city centre.
  • C. Gillieston Heights
    Gillieston Heights is a residential suburb located within the city of Maitland in the Hunter Region of New South Wales, Australia.
  • D. Benhall Green
    Benhall Green is a small rural village located within the county of Suffolk in eastern England.
  • E. Teviotdale
    Teviotdale is a historic valley and district in the Scottish Borders, centered around the River Teviot and known for its rural landscapes and Border heritage.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c4680481908628d22bbe4842f4 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5abff2a88190a2f988b8b041ebb0 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.