Triple

T443341
Position Surface form Disambiguated ID Type / Status
Subject DPAC E10162 entity
Predicate location P40 FINISHED
Object Durham, North Carolina E158 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: Durham, North Carolina | Statement: [DPAC, location, Durham, North Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham, North Carolina
Context triple: [DPAC, location, Durham, North Carolina]
  • A. Durham, North Carolina chosen
    Durham, North Carolina is a major city in the Research Triangle region known for Duke University, a strong research and tech economy, and a rich civil rights and tobacco-industry history.
  • B. Chapel Hill, North Carolina
    Chapel Hill, North Carolina is a vibrant college town best known as the home of the University of North Carolina at Chapel Hill and a key part of the Research Triangle region.
  • C. Durham
    Durham is a historic cathedral city in northeast England known for its Norman architecture and prestigious university.
  • D. Newton, North Carolina
    Newton, North Carolina is a small city in Catawba County that serves as the county seat and lies within the Piedmont region of the state.
  • E. Hillsborough, North Carolina
    Hillsborough, North Carolina, is a historic small town known for its preserved 18th- and 19th-century architecture and vibrant arts and literary community.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef43e8f88190a5d368add11a38c0 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a533bc40ac81908426b70366259a3b completed March 2, 2026, 6:52 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.