Triple

T439423
Position Surface form Disambiguated ID Type / Status
Subject Raleigh–Durham area E10081 entity
Predicate contains P35 FINISHED
Object Cary E19421 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: Cary | Statement: [Raleigh–Durham area, contains, Cary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cary
Context triple: [Raleigh–Durham area, contains, Cary]
  • A. Cary chosen
    Cary is a rapidly growing suburban town in North Carolina known for its high quality of life, proximity to major research universities, and role as a residential and tech hub within the Research Triangle region.
  • B. Morrisville
    Morrisville is a small, rapidly growing town in North Carolina that forms part of the Research Triangle metropolitan region known for its technology and research industries.
  • 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. Mooresville, North Carolina
    Mooresville, North Carolina is a rapidly growing town in the Charlotte metropolitan area known as a hub for NASCAR racing teams and automotive industries.
  • E. Winston-Salem, North Carolina
    Winston-Salem, North Carolina is a mid-sized city known for its historic tobacco and textile industries, vibrant arts scene, and role as a regional economic and cultural center.
  • 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_69a2ef2977888190a0590b2c1bd2f5da completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5868d88190bb0b107fb820aafe completed March 1, 2026, 11:31 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.