Triple

T2184169
Position Surface form Disambiguated ID Type / Status
Subject Ohio Valley region E49111 entity
Predicate hasMajorCity P316 FINISHED
Object Evansville E241040 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: Evansville | Statement: [Ohio Valley region, hasMajorCity, Evansville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evansville
Context triple: [Ohio Valley region, hasMajorCity, Evansville]
  • A. Evansville chosen
    Evansville is a major city in southwestern Indiana located along the Ohio River and serving as a regional economic and cultural hub.
  • B. Indianapolis
    Indianapolis is the capital and most populous city of the U.S. state of Indiana, known for its major sports franchises and hosting the annual Indianapolis 500 auto race.
  • C. Richmond, Indiana
    Richmond, Indiana is a small city in eastern Indiana known historically as a regional transportation hub and for its contributions to early jazz recording and manufacturing.
  • D. Terre Haute, Indiana
    Terre Haute, Indiana is a mid-sized city in western Indiana known historically as a regional industrial and transportation hub along major rail and river routes.
  • E. Valparaiso, Indiana
    Valparaiso, Indiana is a small city in northwestern Indiana known for hosting Valparaiso University and serving as a regional cultural and educational 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0e92248190a9449fce4044438a completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa03c35f48190a4ad11595fea91ae completed March 10, 2026, 4:38 a.m.
Created at: March 4, 2026, 7:45 p.m.