Triple

T11643852
Position Surface form Disambiguated ID Type / Status
Subject Mobile Bears E276729 entity
Predicate location P40 FINISHED
Object Mobile, Alabama E34031 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: Mobile, Alabama | Statement: [Mobile Bears, location, Mobile, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile, Alabama
Context triple: [Mobile Bears, location, Mobile, Alabama]
  • A. Mobile, Alabama chosen
    Mobile, Alabama is a historic port city on the Gulf Coast known for its colonial heritage, shipbuilding industry, and hosting one of the oldest Mardi Gras celebrations in the United States.
  • B. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • C. Montgomery, Alabama
    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.
  • D. Enterprise, Alabama
    Enterprise, Alabama is a prominent city in southeastern Alabama known for its agricultural heritage and the famous Boll Weevil Monument.
  • E. Columbia, Alabama
    Columbia, Alabama is a small town in southeastern Alabama that forms part of the Dothan metropolitan area and is one of the older settlements in Houston County.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cb4ca88190a9322f08416d3974 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280acab488190b1a912dc0e82bc44 completed April 29, 2026, 10:05 p.m.
Created at: April 8, 2026, 9:39 p.m.