Triple

T16902056
Position Surface form Disambiguated ID Type / Status
Subject Sheffield, Alabama E424460 entity
Predicate adjacentTo P224 FINISHED
Object Tuscumbia, Alabama E144724 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: Tuscumbia, Alabama | Statement: [Sheffield, Alabama, adjacentTo, Tuscumbia, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuscumbia, Alabama
Context triple: [Sheffield, Alabama, adjacentTo, Tuscumbia, Alabama]
  • A. Tuscumbia chosen
    Tuscumbia is a small historic city in northwestern Alabama, best known as the birthplace of Helen Keller and for its role in the early development of the region.
  • B. Attalla, Alabama
    Attalla, Alabama is a small city in northeastern Alabama known historically as a railroad and industrial community within the Gadsden metropolitan area.
  • C. 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.
  • D. Newton, Alabama
    Newton, Alabama is a small town in southeastern Alabama known for its rural character and location within the Dothan metropolitan area.
  • E. Anniston, Alabama
    Anniston, Alabama is a small city in northeastern Alabama known historically as a planned industrial community and gateway to the nearby Appalachian foothills.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dd2bf08190b1dc099e8a23cd04 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcedb58819087c31200c01f40b7 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.