Triple

T15657836
Position Surface form Disambiguated ID Type / Status
Subject Reinhardt University E376490 entity
Predicate locatedIn P40 FINISHED
Object Waleska, Georgia E376485 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: Waleska, Georgia | Statement: [Reinhardt University, locatedIn, Waleska, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waleska, Georgia
Context triple: [Reinhardt University, locatedIn, Waleska, Georgia]
  • A. Waleska, Georgia chosen
    Waleska, Georgia is a small city in northwestern Georgia best known as the home of Reinhardt University and its rural, historic character.
  • B. K’ut’aisi, Georgia
    K’ut’aisi is one of Georgia’s major cities, historically significant as a former capital and cultural center in the country’s western region.
  • C. Tift
    Tift is a surname most notably associated with American politician and Confederate officer Nelson Tift, for whom Tift County, Georgia, is named.
  • D. Lula, Georgia
    Lula, Georgia is a small rural city in northeastern Georgia known for its railroad heritage and location near the foothills of the Blue Ridge Mountains.
  • E. Montezuma, Georgia
    Montezuma, Georgia is a small city in central Georgia known as the largest municipality in Macon County and part of the broader Americus–Cordele–Vienna combined statistical area.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef3cb8c8190a10815b675b341c1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679bb7f0819092a98c2981bc9267 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:15 a.m.