Triple

T18313564
Position Surface form Disambiguated ID Type / Status
Subject Interstate 22 E438692 entity
Predicate passesNear P416 FINISHED
Object Jasper, Alabama 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: Jasper, Alabama | Statement: [Interstate 22, passesNear, Jasper, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasper, Alabama
Context triple: [Interstate 22, passesNear, Jasper, Alabama]
  • A. Jasper, Alabama chosen
    Jasper, Alabama is a small city in Walker County that serves as a regional hub in north-central Alabama.
  • B. Jemison, Alabama
    Jemison, Alabama is a small city in central Alabama known for its rural character and location along Interstate 65 between Birmingham and Montgomery.
  • C. Jacksonville, Alabama
    Jacksonville, Alabama is a small city in northeastern Alabama known for being home to Jacksonville State University and for its location in the foothills of the Appalachian Mountains.
  • D. Jackson, Alabama
    Jackson, Alabama is a small city in Clarke County known historically as a regional center for timber and paper industries in southwestern Alabama.
  • E. Vashti, Alabama
    Vashti, Alabama is an unincorporated rural community located in Clarke County in the southwestern part of the state.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021b7e2c81908cd3b6684ab899f6 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.