Triple

T18098603
Position Surface form Disambiguated ID Type / Status
Subject GEICO 500 E433154 entity
Predicate city P40 FINISHED
Object Lincoln, 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: Lincoln, Alabama | Statement: [GEICO 500, city, Lincoln, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln, Alabama
Context triple: [GEICO 500, city, Lincoln, Alabama]
  • A. Lincoln, Alabama chosen
    Lincoln, Alabama is a small city in Talladega County best known as the home of the Talladega Superspeedway and its strong ties to motorsports.
  • B. 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.
  • C. Lynn, Alabama
    Lynn, Alabama is a small rural town located in Winston County in the northwestern part of the state.
  • D. Linden, Alabama
    Linden, Alabama is a small city in Marengo County best known as the birthplace of civil rights leader Ralph Abernathy.
  • E. Liberty, Alabama
    Liberty, Alabama is a small unincorporated community located in Morgan County in northern Alabama.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb3ef548190a322f98917b54a59 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.