Triple

T7624928
Position Surface form Disambiguated ID Type / Status
Subject Gaston County E172603 entity
Predicate largestCity P235 FINISHED
Object Gastonia E24605 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: Gastonia | Statement: [Gaston County, largestCity, Gastonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gastonia
Context triple: [Gaston County, largestCity, Gastonia]
  • A. Gastonia, North Carolina chosen
    Gastonia, North Carolina is a principal city in the Charlotte metropolitan area and the county seat of Gaston County, known historically for its textile industry and manufacturing.
  • B. Morganton
    Morganton is a small city in Burke County, North Carolina, known as a regional hub in the foothills of the Blue Ridge Mountains with a historic downtown and proximity to outdoor recreation.
  • C. Lexington, North Carolina
    Lexington, North Carolina is a small city in the central Piedmont region best known for its distinctive style of barbecue and annual Barbecue Festival.
  • D. Lenoir City
    Lenoir City is a small Tennessee city that functions as a suburban community within the greater Knoxville metropolitan area.
  • E. Rock Hill
    Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6648608190a9203b98b76209aa completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ab1132481909e525e90764df041 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:56 p.m.