Triple

T29850693
Position Surface form Disambiguated ID Type / Status
Subject FISI E758058 entity
Predicate oversees P46 FINISHED
Object Italy national alpine skiing team
The Italy national alpine skiing team is the country’s elite squad of skiers who compete in international alpine skiing competitions such as the World Cup, World Championships, and Winter Olympics.
 E1896954 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: Italy national alpine skiing team | Statement: [FISI, oversees, Italy national alpine skiing team]
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: Italy national alpine skiing team
Triple: [FISI, oversees, Italy national alpine skiing team]
Generated description
The Italy national alpine skiing team is the country’s elite squad of skiers who compete in international alpine skiing competitions such as the World Cup, World Championships, and 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_69f2245a82cc8190a387e7d0118d710b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f67647d9f881908567463e1b38d70f completed May 2, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2732137c70819083e2286c6c777da4 completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a2735cfd7188190acd6abbd6d7cfa06 completed June 8, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_6a27367918d88190916e071e75f34cb3 completed June 8, 2026, 9:39 p.m.
Created at: April 29, 2026, 5:44 p.m.