Triple

T10573274
Position Surface form Disambiguated ID Type / Status
Subject US 23 E249546 entity
Predicate passesThrough P225 FINISHED
Object Portsmouth, Ohio E242454 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: Portsmouth, Ohio | Statement: [US 23, passesThrough, Portsmouth, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portsmouth, Ohio
Context triple: [US 23, passesThrough, Portsmouth, Ohio]
  • A. Portsmouth, Ohio chosen
    Portsmouth, Ohio is a small city along the Ohio River historically known for its early NFL franchise, the Portsmouth Spartans, which later became the Detroit Lions.
  • B. Plymouth, Ohio
    Plymouth, Ohio is a small village in north-central Ohio that spans Huron and Richland counties and is known for its rural community character.
  • C. Bridgeport, Ohio
    Bridgeport, Ohio is a small village in eastern Ohio along the Ohio River, forming part of the Wheeling, West Virginia metropolitan area.
  • D. Newark, Ohio
    Newark, Ohio is a mid-sized city in central Ohio known as the county seat of Licking County and a regional hub for industry, education, and transportation.
  • E. Wilmington, Ohio
    Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274929cc81909a79d5e2049f7389 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ed654848190b53e8b64d81eb143 completed May 2, 2026, 6:13 p.m.
Created at: April 6, 2026, 12:37 p.m.