Triple

T7535535
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County, Alabama E178139 entity
Predicate contains P35 FINISHED
Object Brighton, Alabama E688156 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: Brighton, Alabama | Statement: [Jefferson County, Alabama, contains, Brighton, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brighton, Alabama
Context triple: [Jefferson County, Alabama, contains, Brighton, Alabama]
  • A. Brighton, Alabama chosen
    Brighton, Alabama is a small city in Jefferson County, part of the Birmingham metropolitan area in central Alabama.
  • B. Brent, Alabama
    Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
  • C. Bridgeport, Alabama
    Bridgeport, Alabama is a small city in northeastern Alabama near the Tennessee border, known as the gateway community to the prehistoric Russell Cave National Monument.
  • D. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • E. Kingston, Alabama
    Kingston, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84c13208190971096a0b81b0ff2 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c98f54f0908190afec4f26e96d8173 completed March 29, 2026, 8:45 p.m.
Created at: March 27, 2026, 3:47 p.m.