Triple

T487336
Position Surface form Disambiguated ID Type / Status
Subject George Wallace E9906 entity
Predicate workLocation P7 FINISHED
Object Montgomery, Alabama E9524 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: Montgomery, Alabama | Statement: [George Wallace, workLocation, Montgomery, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery, Alabama
Context triple: [George Wallace, workLocation, Montgomery, Alabama]
  • A. Montgomery, Alabama chosen
    Montgomery, Alabama is the state capital known as a pivotal center of the American civil rights movement, including events such as the Montgomery Bus Boycott.
  • B. Montgomery
    Montgomery is a common English and Scottish surname of Norman origin, historically associated with nobility and military figures.
  • C. Gadsden, Alabama
    Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
  • D. Bessemer, Alabama
    Bessemer, Alabama is an industrial city in Jefferson County that forms part of the greater Birmingham region in central Alabama.
  • E. Pelham, Alabama
    Pelham, Alabama is a suburban city in Shelby County known for its proximity to Birmingham and attractions like Oak Mountain State Park.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0de66308190a18503a482881cfc completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d3b5f0819093c5d55bdf5a7c4d completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.