Triple

T8956712
Position Surface form Disambiguated ID Type / Status
Subject Winston County E213488 entity
Predicate countySeat P383 FINISHED
Object Double Springs E767462 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: Double Springs | Statement: [Winston County, countySeat, Double Springs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Double Springs
Context triple: [Winston County, countySeat, Double Springs]
  • A. Double Springs chosen
    Double Springs is a small town in northwestern Alabama that serves as the administrative and commercial center of Winston County.
  • B. Holly Springs
    Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
  • C. Sherwood Springs
    Sherwood Springs is a small community located within the rural township of Front of Yonge in Eastern Ontario, Canada.
  • D. Oliver Springs
    Oliver Springs is a small town in eastern Tennessee known for its historic coal-mining roots and proximity to outdoor recreation areas near the Cumberland Plateau.
  • E. Crossville
    Crossville is a small city in central Tennessee known as the "Golf Capital of Tennessee" and a gateway to the Cumberland Plateau.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6728965881908e9f14aaee0c5a18 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93ed3308190a39069d7b7d4ea3d completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 7 p.m.