Triple

T1052247
Position Surface form Disambiguated ID Type / Status
Subject Chelsea, Alabama E22724 entity
Predicate locatedNear P294 FINISHED
Object Hoover, Alabama E14505 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: Hoover, Alabama | Statement: [Chelsea, Alabama, locatedNear, Hoover, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoover, Alabama
Context triple: [Chelsea, Alabama, locatedNear, Hoover, Alabama]
  • A. Hoover, Alabama chosen
    Hoover, Alabama is a suburban city in Jefferson and Shelby counties known for its large shopping centers, residential communities, and role as a major suburb of Birmingham.
  • B. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • C. Helena, Alabama
    Helena, Alabama is a suburban city in central Alabama known for its family-friendly neighborhoods, strong schools, and proximity to Birmingham.
  • D. Hueytown, Alabama
    Hueytown, Alabama is a suburban city in Jefferson County known for its ties to the Birmingham area and its rich stock car racing heritage.
  • E. Westover, Alabama
    Westover, Alabama is a small town in central Alabama that forms part of the Birmingham–Hoover metropolitan 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b5312081909796df58fa7c1e9d completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad4001bcd4819088f59e31e3ed79cf completed March 8, 2026, 9:23 a.m.
Created at: March 1, 2026, 7:42 p.m.