Triple

T19600773
Position Surface form Disambiguated ID Type / Status
Subject AL 3 E470468 entity
Predicate passesThrough P225 FINISHED
Object Greenville, 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: Greenville, Alabama | Statement: [AL 3, passesThrough, Greenville, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenville, Alabama
Context triple: [AL 3, passesThrough, Greenville, Alabama]
  • A. Greenville, Alabama chosen
    Greenville, Alabama is a small city in south-central Alabama known for its historic downtown, camellia-lined streets, and role as a local commercial and cultural center.
  • B. Greensboro, Alabama
    Greensboro, Alabama is a small historic city in west-central Alabama known for its antebellum architecture and role in the rural Black Belt region.
  • C. Springfield, Alabama
    Springfield, Alabama is a small unincorporated community in the U.S. state of Alabama.
  • D. Gurley, Alabama
    Gurley, Alabama is a small town in northern Alabama situated near Huntsville in Madison County, known for its rural character and proximity to the Appalachian foothills.
  • E. Ashville, Alabama
    Ashville, Alabama is a small historic town in central Alabama that serves as one of the two county seats of St. Clair County.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407df98c8190b258ac3b690fe4b1 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.