Triple

T31651050
Position Surface form Disambiguated ID Type / Status
Subject 2002 Winter Olympics Nordic combined events E807730 entity
Predicate medalEvent P7488 FINISHED
Object Sprint
Sprint is a Nordic combined skiing discipline that features a shorter cross-country race following ski jumping, used as a medal event at the Winter Olympics.
E1971676 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: Sprint | Statement: [2002 Winter Olympics Nordic combined events, medalEvent, Sprint]
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: Sprint
Triple: [2002 Winter Olympics Nordic combined events, medalEvent, Sprint]
Generated description
Sprint is a Nordic combined skiing discipline that features a shorter cross-country race following ski jumping, used as a medal event at the Winter Olympics.

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_69f348daf95c81908b4c985b7ddcd0b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a959b4948190999f86efb6244d0e completed May 3, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79e30bd48190b397cd8949517e56 completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7abbce6c8190a9e873ba5c834b0f completed June 12, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b71012c81909354fe000b507fc9 completed June 12, 2026, 3:22 a.m.
Created at: April 30, 2026, 10:53 p.m.