Triple

T34574381
Position Surface form Disambiguated ID Type / Status
Subject Columbus and Franklin County Metro Parks E887710 entity
Predicate hasPark P105 FINISHED
Object Slate Run Metro Park
Slate Run Metro Park is a large nature and recreation area in central Ohio known for its diverse habitats, hiking trails, and historic living-history farm.
E2108771 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: Slate Run Metro Park | Statement: [Columbus and Franklin County Metro Parks, hasPark, Slate Run Metro 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: Slate Run Metro Park
Triple: [Columbus and Franklin County Metro Parks, hasPark, Slate Run Metro Park]
Generated description
Slate Run Metro Park is a large nature and recreation area in central Ohio known for its diverse habitats, hiking trails, and historic living-history farm.

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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7209895288190ae44354012537e8e completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3752da45948190b9bbebb71b3f8fbb completed June 21, 2026, 2:56 a.m.
NEDg Description generation batch_6a37570959248190bc414a70c3a921fe completed June 21, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a37575f95108190b322035423405e5c completed June 21, 2026, 3:15 a.m.
Created at: May 1, 2026, 2:03 a.m.