Triple

T8750890
Position Surface form Disambiguated ID Type / Status
Subject Central Iowa E207951 entity
Predicate hasRiver P165 FINISHED
Object Skunk River E827165 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: Skunk River | Statement: [Central Iowa, hasRiver, Skunk River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skunk River
Context triple: [Central Iowa, hasRiver, Skunk River]
  • A. Skunk River chosen
    The Skunk River is a river in central Iowa that flows through communities such as Ames and ultimately joins the Des Moines River.
  • B. Rock River
    Rock River is a tributary of the Big Sioux River flowing through parts of Iowa and South Dakota in the United States.
  • C. Rock River
    Rock River is a major waterway in the Midwestern United States that flows through Wisconsin and Illinois before joining the Mississippi River.
  • D. Straight River
    Straight River is a tributary waterway in southern Minnesota that flows through Rice County before joining the Cannon River.
  • E. Pomme de Terre River
    The Pomme de Terre River is a tributary waterway in western Minnesota that flows through agricultural and prairie landscapes before joining the Minnesota River.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d32a1e1de88190a98ce4b6aea1a148 completed April 6, 2026, 3:35 a.m.
Created at: March 30, 2026, 6:39 p.m.