Triple

T2234418
Position Surface form Disambiguated ID Type / Status
Subject Interstate 77 E49245 entity
Predicate connectsCity P4245 FINISHED
Object Marietta, Ohio E111494 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: Marietta, Ohio | Statement: [Interstate 77, connectsCity, Marietta, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marietta, Ohio
Context triple: [Interstate 77, connectsCity, Marietta, Ohio]
  • A. Marietta, Ohio chosen
    Marietta, Ohio is a historic city in southeastern Ohio known as the first permanent settlement of the Northwest Territory, located along the Ohio and Muskingum Rivers.
  • B. Montgomery, Ohio
    Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
  • C. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • D. Fairborn, Ohio
    Fairborn, Ohio is a city in Greene County that forms part of the Dayton metropolitan area in southwestern Ohio.
  • E. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc09297a481909e8fe6ec645de616 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b319875d7c8190a43b3efd7d1e54c8 completed March 12, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:47 p.m.