Triple

T23112514
Position Surface form Disambiguated ID Type / Status
Subject Central North Carolina E576358 entity
Predicate hasMajorCity P316 FINISHED
Object Greensboro NE NERFINISHED

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: Greensboro | Statement: [Central North Carolina, hasMajorCity, Greensboro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greensboro
Context triple: [Central North Carolina, hasMajorCity, Greensboro]
  • A. Greensboro
    Greensboro is a small rural town in Vermont known for its scenic lakes, agricultural landscape, and arts-oriented summer community.
  • B. Greensboro, North Carolina chosen
    Greensboro, North Carolina is a city historically significant as a major site of the American civil rights movement, particularly known for the 1960 Woolworth’s lunch counter sit-ins.
  • C. Raleigh
    Raleigh is the capital city of North Carolina and a major hub for education, technology, and research within the state’s Research Triangle region.
  • D. Raleigh
    Raleigh is a small town located in Raleigh County, West Virginia, known primarily as a local residential and community center within the county.
  • E. Raleigh
    Raleigh is a small rural locality in the Mid North Coast region of New South Wales, Australia, known for its agricultural surroundings and proximity to the Bellinger River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e100d408190a7349563235640d5 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.