Triple

T18789482
Position Surface form Disambiguated ID Type / Status
Subject The Shoals E459470 entity
Predicate hasEconomicTieWith P9483 FINISHED
Object Tuscumbia, Alabama NE NERFINISHED

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: [The Shoals, hasEconomicTieWith, Tuscumbia, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuscumbia, Alabama
Context triple: [The Shoals, hasEconomicTieWith, 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 (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59784c5988190851755b7f47835e5 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.