Triple

T35023308
Position Surface form Disambiguated ID Type / Status
Subject Mount Challenger E1010254 entity
Predicate hasGlacier P4580 FINISHED
Object Challenger Glacier
Challenger Glacier is a prominent mountain glacier in Washington State’s North Cascades, flowing from the slopes of Mount Challenger within North Cascades National Park.
E2289313 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: Challenger Glacier | Statement: [Mount Challenger, hasGlacier, Challenger Glacier]
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: Challenger Glacier
Triple: [Mount Challenger, hasGlacier, Challenger Glacier]
Generated description
Challenger Glacier is a prominent mountain glacier in Washington State’s North Cascades, flowing from the slopes of Mount Challenger within North Cascades National Park.

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_6a5b1de1675081909cca4505080dd1ff completed July 18, 2026, 6:32 a.m.
NEDg Description generation batch_6a5b1e9d8f6081909234273317704bb6 completed July 18, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_6a5b1f62e3d08190bde35f78fa8c0808 completed July 18, 2026, 6:38 a.m.
Created at: May 3, 2026, 4:01 p.m.