Triple

T8581543
Position Surface form Disambiguated ID Type / Status
Subject Perry County, Alabama E203191 entity
Predicate countySeat P383 FINISHED
Object Marion, Alabama E351670 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: Marion, Alabama | Statement: [Perry County, Alabama, countySeat, Marion, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion, Alabama
Context triple: [Perry County, Alabama, countySeat, Marion, Alabama]
  • A. Marion, Alabama chosen
    Marion, Alabama is a small historic city in Perry County known for its significant role in the civil rights movement and as the home of several notable educational institutions.
  • B. Morris, Alabama
    Morris, Alabama is a small town in central Alabama that forms part of the Birmingham metropolitan area.
  • C. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • D. Roanoke, Alabama
    Roanoke, Alabama is a small city in eastern Alabama known for its rural character and role as a local commercial and community hub.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1bbbd8819082670286a711826d completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91af4f4819087b59eadbf3a6c26 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:22 p.m.