Triple

T1087240
Position Surface form Disambiguated ID Type / Status
Subject Appalachian State University Hickory campus E24079 entity
Predicate city P40 FINISHED
Object Hickory E27483 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: Hickory | Statement: [Appalachian State University Hickory campus, city, Hickory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hickory
Context triple: [Appalachian State University Hickory campus, city, Hickory]
  • A. Hickory, North Carolina chosen
    Hickory, North Carolina is a mid-sized city in the western Piedmont region known historically for its furniture manufacturing and diversified manufacturing economy.
  • B. Woodfin
    Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
  • C. White Oak Flats
    White Oak Flats was the early pioneer settlement that later developed into the modern resort town of Gatlinburg, Tennessee.
  • D. Aiken
    Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
  • E. Holly Springs
    Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97c64a88190bf1119fdd4940bf3 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c243cbc81908d6101faad628fc8 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.