Triple

T756443
Position Surface form Disambiguated ID Type / Status
Subject Mapp v. Ohio E15566 entity
Predicate stateParty P10242 FINISHED
Object Ohio E30904 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: Ohio | Statement: [Mapp v. Ohio, stateParty, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohio
Context triple: [Mapp v. Ohio, stateParty, Ohio]
  • A. Ohio chosen
    Ohio is a Midwestern U.S. state known for its diverse economy, major cities like Columbus, Cleveland, and Cincinnati, and its significant role in national politics as a historic swing state.
  • B. Indiana
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • C. Illinois
    Illinois is a Midwestern U.S. state known for its major metropolis Chicago, diverse economy, and significant political and transportation influence.
  • D. Kentucky
    Kentucky is a southeastern U.S. state known for its horse racing, bourbon distilleries, bluegrass music, and diverse landscapes ranging from Appalachian mountains to fertile river valleys.
  • E. Tennessee
    Tennessee is a southeastern U.S. state known for its diverse landscapes from the Appalachian Mountains to the Mississippi River, and for major cultural centers like Nashville and Memphis that have shaped American music and history.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66ab4608190afcd81e6606c5116 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36eddeb881908e3ba76969c1b24c completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:37 p.m.