Triple

T11285237
Position Surface form Disambiguated ID Type / Status
Subject Madison County, Alabama E267168 entity
Predicate contains P35 FINISHED
Object Madison, Alabama E448317 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: Madison, Alabama | Statement: [Madison County, Alabama, contains, Madison, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison, Alabama
Context triple: [Madison County, Alabama, contains, Madison, Alabama]
  • A. Madison, Alabama chosen
    Madison, Alabama is a rapidly growing city in the Huntsville metropolitan area known for its strong aerospace ties and as home to the Rocket City Trash Pandas minor league baseball team.
  • B. Hamilton, Alabama
    Hamilton, Alabama is a small city in northwestern Alabama that serves as the administrative and commercial center of Marion County.
  • C. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • D. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
  • E. 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.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55639a5ec8190b979d5a280397f98 completed April 19, 2026, 10:24 p.m.
Created at: April 8, 2026, 9:31 p.m.