Triple

T13955262
Position Surface form Disambiguated ID Type / Status
Subject Marion County, Alabama E335639 entity
Predicate countySeat P383 FINISHED
Object Hamilton, Alabama E790583 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: Hamilton, Alabama | Statement: [Marion County, Alabama, countySeat, Hamilton, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamilton, Alabama
Context triple: [Marion County, Alabama, countySeat, Hamilton, Alabama]
  • A. Hamilton, Alabama chosen
    Hamilton, Alabama is a small city in northwestern Alabama that serves as the administrative and commercial center of Marion County.
  • B. Madison, Alabama
    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.
  • C. Kingston, Alabama
    Kingston, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • 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. Hackleburg, Alabama
    Hackleburg, Alabama is a small rural town in northwestern Alabama known historically for its logging industry and for being heavily impacted by the 2011 tornado outbreak.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d72a17c8190b63f9f441731917d completed May 8, 2026, 4:58 a.m.
Created at: April 9, 2026, 10:17 p.m.