Triple

T22707760
Position Surface form Disambiguated ID Type / Status
Subject Wyoming Range E561503 entity
Predicate contains P35 FINISHED
Object Middle Piney Creek
Middle Piney Creek is a mountain stream in western Wyoming that flows through the Wyoming Range and is known for its scenic alpine setting and trout fishing.
 E1662260 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: Middle Piney Creek | Statement: [Wyoming Range, contains, Middle Piney 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: Middle Piney Creek
Triple: [Wyoming Range, contains, Middle Piney Creek]
Generated description
Middle Piney Creek is a mountain stream in western Wyoming that flows through the Wyoming Range and is known for its scenic alpine setting and trout 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cff7588190a40c8cef0f3cd44a completed April 29, 2026, 3:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10485e968c8190a4d2bc48d346d2b9 completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a1049f04c5c819091dc7e9d760c91ce completed May 22, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a104bc667e48190bb0feadc5b324cde completed May 22, 2026, 12:27 p.m.
Created at: April 17, 2026, 3:17 p.m.