Triple

T37239272
Position Surface form Disambiguated ID Type / Status
Subject World Alpine Ski Championships 2021 E923665 entity
Predicate notableAthlete P10392 FINISHED
Object Katharina Liensberger
Katharina Liensberger is an Austrian alpine ski racer specializing in the technical disciplines, known for winning multiple medals at major international championships.
E2234437 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: Katharina Liensberger | Statement: [World Alpine Ski Championships 2021, notableAthlete, Katharina Liensberger]
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: Katharina Liensberger
Triple: [World Alpine Ski Championships 2021, notableAthlete, Katharina Liensberger]
Generated description
Katharina Liensberger is an Austrian alpine ski racer specializing in the technical disciplines, known for winning multiple medals at major international championships.

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_69f76ea9fee88190a589f661d95a7189 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb36d22d2c81909d777612e62b385f completed May 6, 2026, 12:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7db93e48190af81d864ea5c85a5 completed June 28, 2026, 4:49 a.m.
NEDg Description generation batch_6a40a92a33a481908411fc3f7ffec5bc completed June 28, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a40a9b39bc88190bfa865be4f420cd3 completed June 28, 2026, 4:57 a.m.
Created at: May 3, 2026, 4:15 p.m.