Triple

T11142817
Position Surface form Disambiguated ID Type / Status
Subject Barbour County, Alabama E263596 entity
Predicate hasSettlement P1068 FINISHED
Object Clio, Alabama E64917 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: Clio, Alabama | Statement: [Barbour County, Alabama, hasSettlement, Clio, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clio, Alabama
Context triple: [Barbour County, Alabama, hasSettlement, Clio, Alabama]
  • A. Clio, Alabama chosen
    Clio, Alabama is a small town in Barbour County best known as the birthplace of longtime Alabama governor and segregationist political figure George Wallace.
  • B. Cleveland, Alabama
    Cleveland, Alabama is a small rural town in Blount County known for its close-knit community and location in north-central Alabama.
  • C. Clay, Alabama
    Clay, Alabama is a small suburban city in the Birmingham metropolitan area in central Alabama.
  • D. Columbia, Alabama
    Columbia, Alabama is a small town in southeastern Alabama that forms part of the Dothan metropolitan area and is one of the older settlements in Houston County.
  • E. Helena, Alabama
    Helena, Alabama is a suburban city in central Alabama known for its family-friendly neighborhoods, strong schools, and proximity to Birmingham.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8623158819096ad1678fa9e72bb completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496c152a081909c6ad8b2a6e41927 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:28 p.m.