Triple

T19820854
Position Surface form Disambiguated ID Type / Status
Subject Maylene Post Office E476188 entity
Predicate locatedIn P40 FINISHED
Object Maylene, 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: Maylene, Alabama | Statement: [Maylene Post Office, locatedIn, Maylene, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maylene, Alabama
Context triple: [Maylene Post Office, locatedIn, Maylene, Alabama]
  • A. Maylene, Alabama chosen
    Maylene, Alabama is an unincorporated community and suburban area located in central Alabama within Shelby County.
  • B. McCalla, Alabama
    McCalla, Alabama is an unincorporated community in Jefferson and Tuscaloosa counties known for its suburban character and proximity to Birmingham and historic sites like Tannehill Ironworks.
  • C. Milstead, Alabama
    Milstead, Alabama is a small unincorporated rural community located in Macon County in the east-central part of the state.
  • D. Geraldine, Alabama
    Geraldine, Alabama is a small rural town located in northeastern Alabama within DeKalb County.
  • E. Morris, Alabama
    Morris, Alabama is a small town in central Alabama that forms part of the Birmingham metropolitan area.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fee3e48190ae728e49748ad268 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.