Triple

T26475975
Position Surface form Disambiguated ID Type / Status
Subject Vilas, Colorado E666035 entity
Predicate timeZoneDST P109 FINISHED
Object Mountain Daylight Time
Mountain Daylight Time is the daylight saving time observed in parts of the Mountain Time Zone in North America, typically one hour ahead of Mountain Standard Time.
E110191 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: Mountain Daylight Time | Statement: [Vilas, Colorado, timeZoneDST, Mountain Daylight Time]
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: Mountain Daylight Time
Triple: [Vilas, Colorado, timeZoneDST, Mountain Daylight Time]
Generated description
Mountain Daylight Time is the daylight saving time observed in parts of the Mountain Time Zone in North America, typically one hour ahead of Mountain Standard Time.

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_69ee883f80dc819090e311b022b78e02 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612cce1348190861a76259a2b9c85 completed May 2, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aed569ac81908bfb73dc5df4cd5c completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af68d97c81908ccb1af29de6b417 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b02a01f4819088f0f84f9ca335af completed May 23, 2026, 1:48 p.m.
Created at: April 27, 2026, 12:23 a.m.