Triple

T24371381
Position Surface form Disambiguated ID Type / Status
Subject White Pine trailhead E614340 entity
Predicate hasAccessTo P1017 FINISHED
Object Red Pine Canyon
Red Pine Canyon is a popular alpine canyon in Utah’s Wasatch Range known for its scenic hiking, wildflower meadows, and access to high mountain lakes.
 E1706300 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: Red Pine Canyon | Statement: [White Pine trailhead, hasAccessTo, Red Pine Canyon]
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: Red Pine Canyon
Triple: [White Pine trailhead, hasAccessTo, Red Pine Canyon]
Generated description
Red Pine Canyon is a popular alpine canyon in Utah’s Wasatch Range known for its scenic hiking, wildflower meadows, and access to high mountain 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_69e2d7e1e010819098b95eb3f905943d completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2938b95188190b8f7ee1098c6088a completed April 29, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111ad7daf481908dd4668784a83be0 completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111ba170c881908916feb646df7338 completed May 23, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a111c1129588190918ec8f98cad6fd4 completed May 23, 2026, 3:16 a.m.
Created at: April 18, 2026, 2:02 a.m.