Triple

T35265998
Position Surface form Disambiguated ID Type / Status
Subject Chagrin River E1018514 entity
Predicate passesThrough P225 FINISHED
Object Chagrin River Park
Chagrin River Park is a scenic public park in northeastern Ohio known for its riverside trails, wildlife viewing, and recreational opportunities along the Chagrin River.
E2141801 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: Chagrin River Park | Statement: [Chagrin River, passesThrough, Chagrin River Park]
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: Chagrin River Park
Triple: [Chagrin River, passesThrough, Chagrin River Park]
Generated description
Chagrin River Park is a scenic public park in northeastern Ohio known for its riverside trails, wildlife viewing, and recreational opportunities along the Chagrin River.

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_69f76de4be5c8190a51705c07612cac8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f9a095881908d7d5d1914afae77 completed May 3, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38401b5e848190a26c758ab8a0c163 completed June 21, 2026, 7:48 p.m.
NEDg Description generation batch_6a3840d842a8819093075b6c8556b86f completed June 21, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_6a38417151208190a130bdb18576e17e completed June 21, 2026, 7:54 p.m.
Created at: May 3, 2026, 4:02 p.m.