Triple

T26652659
Position Surface form Disambiguated ID Type / Status
Subject Wolfsberger AC E669105 entity
Predicate hasQualifiedFor P2691 FINISHED
Object UEFA Europa League group stage
The UEFA Europa League group stage is the main round-robin phase of UEFA’s secondary club football competition, featuring multiple European teams competing in groups for places in the knockout rounds.
E1735442 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: UEFA Europa League group stage | Statement: [Wolfsberger AC, hasQualifiedFor, UEFA Europa League group stage]
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: UEFA Europa League group stage
Triple: [Wolfsberger AC, hasQualifiedFor, UEFA Europa League group stage]
Generated description
The UEFA Europa League group stage is the main round-robin phase of UEFA’s secondary club football competition, featuring multiple European teams competing in groups for places in the knockout rounds.

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_69ee9d00eb5481908d6c6d0ada2f0c9a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6167ccb308190a3183b2145bf4ce8 completed May 2, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec46f0b08190930e1e98a0de592d completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ee4a816c8190a69ca08a00819df3 completed May 23, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_6a11eeba70b48190be953d4322f84953 completed May 23, 2026, 6:15 p.m.
Created at: April 27, 2026, 2:33 a.m.