Triple

T24444072
Position Surface form Disambiguated ID Type / Status
Subject Millcreek Canyon E616350 entity
Predicate hasTrail P3625 FINISHED
Object Grandeur Peak trail
Grandeur Peak trail is a popular hiking route in the Wasatch Mountains near Salt Lake City, offering a steep climb to panoramic views of the Salt Lake Valley and surrounding peaks.
E1635543 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: Grandeur Peak trail | Statement: [Millcreek Canyon, hasTrail, Grandeur Peak trail]
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: Grandeur Peak trail
Triple: [Millcreek Canyon, hasTrail, Grandeur Peak trail]
Generated description
Grandeur Peak trail is a popular hiking route in the Wasatch Mountains near Salt Lake City, offering a steep climb to panoramic views of the Salt Lake Valley and surrounding peaks.

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_69e2d7edca608190aafefc8877a1b4da completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29851e6cc8190a8f160cbed4e9ab0 completed April 29, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe381281c8190a368d4fee939adde completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe4f9f0448190bbd9e0b860335482 completed May 22, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe620e40c81909973369ffb8e9dfc completed May 22, 2026, 5:14 a.m.
Created at: April 18, 2026, 2:17 a.m.