Triple

T7848015
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Wisconsin E181969 entity
Predicate containsRiver P165 FINISHED
Object Rock River E319574 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: Rock River | Statement: [Southeastern Wisconsin, containsRiver, Rock River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rock River
Context triple: [Southeastern Wisconsin, containsRiver, Rock River]
  • A. Rock River
    Rock River is a tributary of the Big Sioux River flowing through parts of Iowa and South Dakota in the United States.
  • B. Rock River chosen
    Rock River is a major waterway in the Midwestern United States that flows through Wisconsin and Illinois before joining the Mississippi River.
  • C. Iller River
    The Iller River is a tributary of the Danube in southern Germany, flowing through the Allgäu region and forming part of the border between Bavaria and Baden-Württemberg.
  • D. Kickapoo River
    The Kickapoo River is a winding river in southwestern Wisconsin known for its scenic valleys, recreational paddling, and relatively undisturbed natural landscapes.
  • E. Leaf River
    Leaf River is a river in southeastern Mississippi that flows through cities such as Hattiesburg before joining the Pascagoula River system.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3394b5408190a3d540b5eede456e completed April 1, 2026, 3:02 p.m.
Created at: March 30, 2026, 4:49 p.m.