Triple

T28215085
Position Surface form Disambiguated ID Type / Status
Subject Sloquet Hot Springs E711290 entity
Predicate locatedNear P294 FINISHED
Object In-SHUCK-ch Forest Service Road
In-SHUCK-ch Forest Service Road is a remote forestry route in British Columbia, Canada, that provides access to several backcountry areas and natural attractions, including hot springs and lakes.
 E1809518 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: In-SHUCK-ch Forest Service Road | Statement: [Sloquet Hot Springs, locatedNear, In-SHUCK-ch Forest Service Road]
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: In-SHUCK-ch Forest Service Road
Triple: [Sloquet Hot Springs, locatedNear, In-SHUCK-ch Forest Service Road]
Generated description
In-SHUCK-ch Forest Service Road is a remote forestry route in British Columbia, Canada, that provides access to several backcountry areas and natural attractions, including hot springs and lakes.

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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6434bfb4881909c3309b3ec88c17a completed May 2, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6c2690c8190874a1a3e9a68eb9f completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15e7d2fef48190afc3d5ee7901ebac completed May 26, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_6a15fcfcbb94819096d38b205a60ba4a completed May 26, 2026, 8:05 p.m.
Created at: April 27, 2026, 10:42 p.m.