Triple

T38415607
Position Surface form Disambiguated ID Type / Status
Subject Dead Horse Point State Park E901592 entity
Predicate hasFeature P182 FINISHED
Object Dead Horse Point Overlook
Dead Horse Point Overlook is a dramatic cliff-edge viewpoint in Utah offering sweeping views of the Colorado River and the surrounding canyon country.
 E901592 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: Dead Horse Point Overlook | Statement: [Dead Horse Point State Park, hasFeature, Dead Horse Point Overlook]
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: Dead Horse Point Overlook
Triple: [Dead Horse Point State Park, hasFeature, Dead Horse Point Overlook]
Generated description
Dead Horse Point Overlook is a dramatic cliff-edge viewpoint in Utah offering sweeping views of the Colorado River and the surrounding canyon country.

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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd82530c81909f8d232f60da676d completed May 7, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41cc9f2dac8190b6ab681097ffc153 completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41ce0a6ae081909a96d33869cfde6b completed June 29, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a41ceaec9a48190bd08361fd7b3362b completed June 29, 2026, 1:47 a.m.
Created at: May 3, 2026, 4:31 p.m.