Triple

T4353907
Position Surface form Disambiguated ID Type / Status
Subject Alabaster E98097 entity
Predicate hasNearbyCity P350 FINISHED
Object Calera, Alabama E23083 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: Calera, Alabama | Statement: [Alabaster, hasNearbyCity, Calera, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calera, Alabama
Context triple: [Alabaster, hasNearbyCity, Calera, Alabama]
  • A. Calera, Alabama chosen
    Calera, Alabama is a rapidly growing small city in central Alabama known for its location along major transportation routes and its inclusion in the greater Birmingham metropolitan region.
  • B. Elberta, Alabama
    Elberta, Alabama is a small town in southern Alabama known for its rural character and community events like the biannual German Sausage Festival.
  • C. Cedar Bluff, Alabama
    Cedar Bluff, Alabama is a small unincorporated community located in St. Clair County in the state of Alabama.
  • D. Malvern, Alabama
    Malvern, Alabama is a small rural town located in southeastern Alabama within Geneva County.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c281688190aef717c4ecce8107 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbb32eb081908dbaa8cc14882fe0 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:15 p.m.