Triple

T11533403
Position Surface form Disambiguated ID Type / Status
Subject Lincoln Normal School of Marion E273480 entity
Predicate locatedIn P40 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: [Lincoln Normal School of Marion, locatedIn, Marion, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion, Alabama
Context triple: [Lincoln Normal School of Marion, locatedIn, 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. Courtland, Alabama
    Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839a2c7081909c285d1f6beb971c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e68577f5ec8190a46687119d288a36 completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.