Triple

T18782802
Position Surface form Disambiguated ID Type / Status
Subject Alabaster metropolitan area E459300 entity
Predicate primaryCity P3940 FINISHED
Object Alabaster, 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: Alabaster, Alabama | Statement: [Alabaster metropolitan area, primaryCity, Alabaster, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alabaster, Alabama
Context triple: [Alabaster metropolitan area, primaryCity, Alabaster, Alabama]
  • A. Alabaster, Alabama chosen
    Alabaster, Alabama is a rapidly growing suburban city in central Alabama known for its residential communities, schools, and retail centers just south of Birmingham.
  • B. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • C. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
  • D. Ensley, Alabama
    Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
  • E. Newton, Alabama
    Newton, Alabama is a small town in southeastern Alabama known for its rural character and location within the Dothan metropolitan area.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5977d7c5c8190ab2aadb47283965d completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.