Triple

T27418167
Position Surface form Disambiguated ID Type / Status
Subject Pine River E692960 entity
Predicate hasValley P650 FINISHED
Object Pine Pass
Pine Pass is a mountain pass forming part of the valley of the Pine River, known as a key transportation corridor through the northern Rocky Mountain region of British Columbia, Canada.
 E1771622 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: Pine Pass | Statement: [Pine River, hasValley, Pine Pass]
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: Pine Pass
Triple: [Pine River, hasValley, Pine Pass]
Generated description
Pine Pass is a mountain pass forming part of the valley of the Pine River, known as a key transportation corridor through the northern Rocky Mountain region of British Columbia, Canada.

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_69ef5208617081908f731d312e0fd1bc completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d1bacb881909671913b6d24b351 completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b246776c81908a7d08f319780662 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b2c102b881908d0c1299f6e1035d completed May 24, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a12b33dc9f881908cca1fd1b03c6c67 completed May 24, 2026, 8:13 a.m.
Created at: April 27, 2026, 12:35 p.m.