Triple

T28756392
Position Surface form Disambiguated ID Type / Status
Subject Illinois Route 37 E731682 entity
Predicate passesThrough P225 FINISHED
Object Kankakee Township, Illinois
Kankakee Township, Illinois is a local governmental subdivision in Kankakee County that includes rural and residential communities in northeastern Illinois.
E1834234 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 Township, Illinois | Statement: [Illinois Route 37, passesThrough, Kankakee Township, Illinois]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kankakee Township, Illinois
Triple: [Illinois Route 37, passesThrough, Kankakee Township, Illinois]
Generated description
Kankakee Township, Illinois is a local governmental subdivision in Kankakee County that includes rural and residential communities in northeastern Illinois.

Provenance (5 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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657fb2bc48190882778ab59298445 completed May 2, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a256e6e48190a8ebf66e15001425 completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a695a9988190bd815507f8027193 completed June 6, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_6a24aab9053081909350507082946a76 completed June 6, 2026, 11:18 p.m.
Created at: April 28, 2026, 6:09 a.m.