Triple

T4890909
Position Surface form Disambiguated ID Type / Status
Subject Warren County, North Carolina E109557 entity
Predicate hasTown P847 FINISHED
Object Macon, North Carolina E55842 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: Macon, North Carolina | Statement: [Warren County, North Carolina, hasTown, Macon, North Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macon, North Carolina
Context triple: [Warren County, North Carolina, hasTown, Macon, North Carolina]
  • A. Macon, North Carolina chosen
    Macon, North Carolina is a small town in Warren County known primarily as the namesake for the larger city of Macon, Georgia.
  • B. 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.
  • C. Monroe, North Carolina
    Monroe, North Carolina is a small city in the Charlotte metropolitan area known historically as a railroad and trading center in the Piedmont region.
  • 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. 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fbf3e74819099910475bbd18734 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.