Triple

T34140329
Position Surface form Disambiguated ID Type / Status
Subject Springfield Township, Fayette County, Pennsylvania E875698 entity
Predicate hasStream P23365 FINISHED
Object Ohiopyle Creek
Ohiopyle Creek is a scenic waterway in Fayette County, Pennsylvania, known for its rugged natural beauty and outdoor recreation opportunities such as whitewater paddling and fishing.
E2097568 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: Ohiopyle Creek | Statement: [Springfield Township, Fayette County, Pennsylvania, hasStream, Ohiopyle Creek]
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: Ohiopyle Creek
Triple: [Springfield Township, Fayette County, Pennsylvania, hasStream, Ohiopyle Creek]
Generated description
Ohiopyle Creek is a scenic waterway in Fayette County, Pennsylvania, known for its rugged natural beauty and outdoor recreation opportunities such as whitewater paddling and fishing.

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_69f349aaeef08190a20e72a3fdeb7052 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f768180819091cde5cde7de3c29 completed May 3, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37181498a08190acc9a260feb3dba7 completed June 20, 2026, 10:45 p.m.
NEDg Description generation batch_6a37198c96ac81909471cc5b2969898e completed June 20, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_6a371a8e4260819080c785be348e9f32 completed June 20, 2026, 10:56 p.m.
Created at: May 1, 2026, 1:53 a.m.