Triple

T4455193
Position Surface form Disambiguated ID Type / Status
Subject Meadowbrook, Alabama E97702 entity
Predicate locatedNear P294 FINISHED
Object Inverness, Alabama E100684 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: Inverness, Alabama | Statement: [Meadowbrook, Alabama, locatedNear, Inverness, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inverness, Alabama
Context triple: [Meadowbrook, Alabama, locatedNear, Inverness, Alabama]
  • A. Inverness, Alabama chosen
    Inverness, Alabama is an unincorporated community and suburban area located in Shelby County within the Birmingham–Hoover metropolitan region.
  • B. 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.
  • C. Ashville, Alabama
    Ashville, Alabama is a small historic town in central Alabama that serves as one of the two county seats of St. Clair County.
  • D. Kingston, Alabama
    Kingston, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • E. Centreville, Alabama
    Centreville, Alabama is a small city in central Alabama known for its historic downtown and role as an administrative and commercial hub for the surrounding rural area.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f79ca481909338dda9f4f7171f completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69be4d66d4948190a095a92d0e3778ca completed March 21, 2026, 7:48 a.m.
Created at: March 12, 2026, 11:33 p.m.