Triple

T25403443
Position Surface form Disambiguated ID Type / Status
Subject Canyon Creek trailhead E636487 entity
Predicate givesAccessTo P1985 FINISHED
Object Canyon Creek Falls
Canyon Creek Falls is a scenic waterfall known for its cascading drops and natural pools, typically reached via a popular hiking trail through a forested canyon.
 E1774034 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: Canyon Creek Falls | Statement: [Canyon Creek trailhead, givesAccessTo, Canyon Creek Falls]
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: Canyon Creek Falls
Triple: [Canyon Creek trailhead, givesAccessTo, Canyon Creek Falls]
Generated description
Canyon Creek Falls is a scenic waterfall known for its cascading drops and natural pools, typically reached via a popular hiking trail through a forested canyon.

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_69e75db361d881908d8701c856da6413 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f584fcac20819093a4919df2ef23b6 completed May 2, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbafcd508190aadd66053104a003 completed May 24, 2026, 8:49 a.m.
NEDg Description generation batch_6a12bc5e92b08190a2a7f60630f6d0ff completed May 24, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a12bcd0c164819098f637afcad01642 completed May 24, 2026, 8:54 a.m.
Created at: April 21, 2026, 1:52 p.m.