Triple

T31259276
Position Surface form Disambiguated ID Type / Status
Subject Steamboat Ski Resort E797072 entity
Predicate snowTypeTrademark P45704 FINISHED
Object Champagne Powder
Champagne Powder is the famously light, dry, and fluffy snow associated with Steamboat Ski Resort, celebrated by skiers and snowboarders for its exceptional quality.
 E1954553 NE FINISHED

How this triple was built (3 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: Champagne Powder | Statement: [Steamboat Ski Resort, snowTypeTrademark, Champagne Powder]
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: Champagne Powder
Triple: [Steamboat Ski Resort, snowTypeTrademark, Champagne Powder]
Generated description
Champagne Powder is the famously light, dry, and fluffy snow associated with Steamboat Ski Resort, celebrated by skiers and snowboarders for its exceptional quality.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: snowTypeTrademark
Context triple: [Steamboat Ski Resort, snowTypeTrademark, Champagne Powder]
  • A. hasSnowType chosen
    Indicates that something possesses or is characterized by a particular type or category of snow.
  • B. snowAccess
    Indicates that one entity has the ability, permission, or means to access or traverse snow-covered areas in relation to another entity or context.
  • C. snowQuality
    Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
  • D. snowLine
    Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
  • E. sharesTrademark
    Indicates that two or more entities use or are associated with the same trademark.
  • F. None of above.

Provenance (6 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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296bfa4f708190a93fa447b8701c78 completed June 10, 2026, 1:51 p.m.
NEDg Description generation batch_6a296fd50c18819090fc2fb1c8017aa1 completed June 10, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_6a29bafd41f08190b3994c3650278fe0 completed June 10, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:12 p.m.