Triple

T34834784
Position Surface form Disambiguated ID Type / Status
Subject Green River (lower reaches) E1004168 entity
Predicate flowsThrough P225 FINISHED
Object Stillwater Canyon
Stillwater Canyon is a remote, scenic canyon in southeastern Utah known for its dramatic desert landscapes and popular whitewater and flatwater rafting along the Green River.
E2114117 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: Stillwater Canyon | Statement: [Green River (lower reaches), flowsThrough, Stillwater 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: Stillwater Canyon
Triple: [Green River (lower reaches), flowsThrough, Stillwater Canyon]
Generated description
Stillwater Canyon is a remote, scenic canyon in southeastern Utah known for its dramatic desert landscapes and popular whitewater and flatwater rafting along the Green River.

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_69f76db7d1b4819093bd4912d80d845d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7810cd3a08190ac5b5f89e8fa6091 completed May 3, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fc342888190b8e17fb700aa6faa completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37732ccc448190a8d003d5ac3a8a94 completed June 21, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_6a3773909ca081909b6cde2f85324588 completed June 21, 2026, 5:16 a.m.
Created at: May 3, 2026, 4 p.m.