Triple

T9749041
Position Surface form Disambiguated ID Type / Status
Subject Tusculum University E236391 entity
Predicate city P40 FINISHED
Object Greeneville E43983 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: Greeneville | Statement: [Tusculum University, city, Greeneville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greeneville
Context triple: [Tusculum University, city, Greeneville]
  • A. Greeneville, Tennessee chosen
    Greeneville, Tennessee is a historic town in northeastern Tennessee best known as the longtime home of President Andrew Johnson and for its role in early American frontier and Civil War history.
  • B. Dandridge
    Dandridge is a surname most famously associated with Dorothy Dandridge, a pioneering African-American film actress and singer.
  • C. Hendersonville
    Hendersonville is a small city in western North Carolina known for its historic downtown, apple orchards, and role as a regional cultural and commercial center.
  • D. Cookeville
    Cookeville is a city in Tennessee known as a regional hub for education, healthcare, and commerce on the Cumberland Plateau.
  • E. Crossville
    Crossville is a small city in central Tennessee known as the "Golf Capital of Tennessee" and a gateway to the Cumberland Plateau.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f6a2f8c8190a6f6af6587ee90b8 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40da67c8190b9a0193e9b04fedd completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:23 p.m.