Triple

T38190768
Position Surface form Disambiguated ID Type / Status
Subject Kern River watershed E1005452 entity
Predicate hasPart P35 FINISHED
Object Upper Kern River
The Upper Kern River is the high-elevation, free-flowing headwaters section of California’s Kern River, known for its rugged Sierra Nevada canyons, whitewater recreation, and scenic wilderness.
 E291595 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: Upper Kern River | Statement: [Kern River watershed, hasPart, Upper Kern River]
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: Upper Kern River
Triple: [Kern River watershed, hasPart, Upper Kern River]
Generated description
The Upper Kern River is the high-elevation, free-flowing headwaters section of California’s Kern River, known for its rugged Sierra Nevada canyons, whitewater recreation, and scenic wilderness.

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_69f76dbd22f48190940318cea061e8bb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb117bed4819096b1b56e00f05a4b completed May 7, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41853fab548190be4cc87a7a4809c3 completed June 28, 2026, 8:34 p.m.
NEDg Description generation batch_6a41878782f481908e4cc0c9a5857f0b completed June 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_6a418811c96881909f27841eda8ff078 completed June 28, 2026, 8:46 p.m.
Created at: May 3, 2026, 4:29 p.m.