Triple

T16130013
Position Surface form Disambiguated ID Type / Status
Subject Canyon Lake E391370 entity
Predicate locatedOnRiver P165 FINISHED
Object Salt River E70201 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: Salt River | Statement: [Canyon Lake, locatedOnRiver, Salt River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salt River
Context triple: [Canyon Lake, locatedOnRiver, Salt River]
  • A. Salt River
    Salt River is a tributary of the Ohio River in Kentucky that flows through several counties and has historically been important for local transportation and settlement.
  • B. Salt River chosen
    The Salt River is a significant river in central Arizona that flows through the Phoenix metropolitan area and serves as a major source of water and recreation in the region.
  • C. Gila River
    The Gila River is a major waterway in the southwestern United States that flows through New Mexico and Arizona before joining the Colorado River.
  • D. Agua Fria River
    The Agua Fria River is a seasonal waterway in central Arizona that flows south through desert and riparian habitats before joining the Gila River near Phoenix.
  • E. Gila
    Gila is a character in the story "One for the Road," playing a role within its narrative events and relationships.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202075860819088d27d921609a6ce completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:01 a.m.