Triple

T10628349
Position Surface form Disambiguated ID Type / Status
Subject Illinois Route 113 E250383 entity
Predicate passesNear P416 FINISHED
Object Kankakee River E418057 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: Kankakee River | Statement: [Illinois Route 113, passesNear, Kankakee River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kankakee River
Context triple: [Illinois Route 113, passesNear, Kankakee River]
  • A. Kankakee River chosen
    The Kankakee River is a Midwestern U.S. river known for its historically extensive wetlands, recreational opportunities, and role as a tributary of the Illinois River.
  • B. Maquoketa River
    The Maquoketa River is a tributary of the Mississippi River in eastern Iowa, known for its scenic bluffs, recreational opportunities, and role in draining a largely rural agricultural watershed.
  • C. Kickapoo River
    The Kickapoo River is a winding river in southwestern Wisconsin known for its scenic valleys, recreational paddling, and relatively undisturbed natural landscapes.
  • D. Wabash Creek
    Wabash Creek is a small stream in Pennsylvania that serves as a tributary within the Little Schuylkill River watershed.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df9228088190bdd57a95d8671618 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49658b5a48190813dcf114d92be8e completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 8:58 p.m.