Triple

T7240179
Position Surface form Disambiguated ID Type / Status
Subject Walker County, Alabama E155333 entity
Predicate largestCity P235 FINISHED
Object Jasper, Alabama E175411 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: Jasper, Alabama | Statement: [Walker County, Alabama, largestCity, Jasper, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasper, Alabama
Context triple: [Walker County, Alabama, largestCity, 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. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • E. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea39230481908401ead83d8666cd completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d38efa4c8190abd6434188d8c58f completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:55 p.m.