Triple

T17411913
Position Surface form Disambiguated ID Type / Status
Subject SR 13 E423385 entity
Predicate connects P390 FINISHED
Object Mansfield, Ohio NE NERFINISHED

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: Mansfield, Ohio | Statement: [SR 13, connects, Mansfield, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansfield, Ohio
Context triple: [SR 13, connects, Mansfield, Ohio]
  • A. Mansfield, Ohio chosen
    Mansfield, Ohio is a mid-sized city in north-central Ohio known historically for its manufacturing base and as the home of the Ohio State Reformatory, a popular film and tourist site.
  • B. Mason, Ohio
    Mason, Ohio is a suburban city near Cincinnati best known as home to the Kings Island amusement park and major tennis tournaments.
  • C. Sylvania, Ohio
    Sylvania, Ohio is a suburban city near Toledo known for its residential communities, strong school system, and proximity to the Michigan border.
  • D. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0b56788190ba012788f32afb78 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.