Triple

T35023530
Position Surface form Disambiguated ID Type / Status
Subject Northern Pickets E1010260 entity
Predicate separatedBy P1175 FINISHED
Object Pickett Creek
Pickett Creek is a mountain stream in Washington State’s North Cascades that runs through the rugged Picket Range and helps define the separation of the Northern Pickets subrange.
E2297796 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: Pickett Creek | Statement: [Northern Pickets, separatedBy, Pickett 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: Pickett Creek
Triple: [Northern Pickets, separatedBy, Pickett Creek]
Generated description
Pickett Creek is a mountain stream in Washington State’s North Cascades that runs through the rugged Picket Range and helps define the separation of the Northern Pickets subrange.

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_69f76dccf0108190af43b465d3750196 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7851bcf288190b99861b47ceacf74 completed May 3, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83d4c373088190a3936a9ea8eccdd7 completed Aug. 18, 2026, 3:42 a.m.
NEDg Description generation batch_6a83d51a93ec8190b910e9840c714d47 completed Aug. 18, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_6a83d56968f48190b3a4b343ebd98732 completed Aug. 18, 2026, 3:45 a.m.
Created at: May 3, 2026, 4:01 p.m.