Triple

T12025479
Position Surface form Disambiguated ID Type / Status
Subject Sweetwater E286263 entity
Predicate hasName P744 FINISHED
Object Sweetwater unclear NED1 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: Sweetwater | Statement: [Sweetwater, hasName, Sweetwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweetwater
Context triple: [Sweetwater, hasName, Sweetwater]
  • A. Sweetwater
    Sweetwater is a small West Texas city best known for its historic role in the oil and cattle industries and for hosting one of the world’s largest rattlesnake roundups.
  • B. Sweetwater
    Sweetwater is a 2013 American Western thriller film starring January Jones as a frontier woman seeking violent revenge in 19th-century New Mexico.
  • C. Sweet Water
    Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
  • D. Springwater
    Springwater is a rural township in central Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • E. Broken River
    Broken River is a tributary of the Goulburn River in northeastern Victoria, Australia, flowing through agricultural regions and near the city of Shepparton.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b71e5c48190a58ace8ef7c8928d completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.