Triple

T825649
Position Surface form Disambiguated ID Type / Status
Subject Snowflake E17845 entity
Predicate stockTicker P1447 FINISHED
Object SNOW
SNOW is the stock ticker symbol for Snowflake Inc., a cloud-based data warehousing and analytics company.
 E17845 NE FINISHED

How this triple was built (4 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: SNOW | Statement: [Snowflake, stockTicker, SNOW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNOW
Context triple: [Snowflake, stockTicker, SNOW]
  • A. Thunder Snow
    Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
  • B. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • C. Avalanche
    Avalanche is the codename for Operation Avalanche, the Allied invasion of mainland Italy during World War II that began with the Salerno landings in September 1943.
  • D. Snowlets
    Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • E. Snowflake
    Snowflake is a cloud-based data warehousing platform known for its scalable, high-performance analytics and separation of storage and compute.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: SNOW
Triple: [Snowflake, stockTicker, SNOW]
Generated description
SNOW is the stock ticker symbol for Snowflake Inc., a cloud-based data warehousing and analytics company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SNOW
Target entity description: SNOW is the stock ticker symbol for Snowflake Inc., a cloud-based data warehousing and analytics company.
  • A. Thunder Snow
    Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
  • B. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • C. Avalanche
    Avalanche is the codename for Operation Avalanche, the Allied invasion of mainland Italy during World War II that began with the Salerno landings in September 1943.
  • D. Snowlets
    Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • E. Snowflake chosen
    Snowflake is a cloud-based data warehousing platform known for its scalable, high-performance analytics and separation of storage and compute.
  • F. None of above.

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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab976094819086d676404d745750 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9577f081908aa31b1926e04bb8 completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a78204c1208190b2d2d19cdea93b57 completed March 4, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69a78648601881908bfcb9390ac4d6d2 completed March 4, 2026, 1:09 a.m.
Created at: March 1, 2026, 7:38 p.m.