Triple

T18096103
Position Surface form Disambiguated ID Type / Status
Subject Toyota Field E433089 entity
Predicate location P40 FINISHED
Object Madison, 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: Madison, Alabama | Statement: [Toyota Field, location, Madison, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madison, Alabama
Context triple: [Toyota Field, location, 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. Green Bay, Alabama
    Green Bay, Alabama is a small unincorporated rural community located in Covington County in the southern part of the state.
  • E. McIntosh, Alabama
    McIntosh, Alabama is a small town in southwestern Alabama known for its industrial facilities and location along the Tombigbee River.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1c56848190be0b8c80b30dba6c completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.