Triple

T18076819
Position Surface form Disambiguated ID Type / Status
Subject Howard College E432573 entity
Predicate foundingLocation P40 FINISHED
Object Marion, 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: Marion, Alabama | Statement: [Howard College, foundingLocation, Marion, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion, Alabama
Context triple: [Howard College, foundingLocation, 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. Marbury, Alabama
    Marbury, Alabama is a small unincorporated rural community located in central Alabama.
  • C. Marion, Mississippi
    Marion, Mississippi is a small town in Lauderdale County known as part of the Meridian micropolitan area in eastern Mississippi.
  • D. Morris, Alabama
    Morris, Alabama is a small town in central Alabama that forms part of the Birmingham metropolitan area.
  • E. Vashti, Alabama
    Vashti, Alabama is an unincorporated rural community located in Clarke County in the southwestern part of the state.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f5d10481908b09af0b44d3db4f completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:26 a.m.