Triple

T12418940
Position Surface form Disambiguated ID Type / Status
Subject Marshall County, Alabama E296713 entity
Predicate containsCity P294 FINISHED
Object Boaz, Alabama E843920 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: Boaz, Alabama | Statement: [Marshall County, Alabama, containsCity, Boaz, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boaz, Alabama
Context triple: [Marshall County, Alabama, containsCity, Boaz, Alabama]
  • A. Boaz, Alabama chosen
    Boaz, Alabama is a small city in northeastern Alabama known for its outlet shopping centers and location atop Sand Mountain.
  • B. Basham, Alabama
    Basham, Alabama is an unincorporated community located in Morgan County in the northern part of the U.S. state of Alabama.
  • C. Brent, Alabama
    Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
  • D. Billingsley, Alabama
    Billingsley, Alabama is a small rural town in central Alabama known for its close-knit community and agricultural surroundings.
  • E. Berry, Alabama
    Berry, Alabama is a small rural town in western Alabama known for its tight-knit community and location within Fayette County.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6efd748190a5d9396a343e41e1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eac3ebd08190beb13fa00331f27b completed May 3, 2026, 6:27 a.m.
Created at: April 8, 2026, 9:55 p.m.