Triple

T35157333
Position Surface form Disambiguated ID Type / Status
Subject Germany B E1015158 entity
Predicate nationalTeamCategory P99501 FINISHED
Object secondary national team LITERAL 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: secondary national team | Statement: [Germany B, nationalTeamCategory, secondary national team]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nationalTeamCategory
Context triple: [Germany B, nationalTeamCategory, secondary national team]
  • A. nationalTeamType chosen
    Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
  • B. nationalTeamFor
    Indicates that one entity serves as the national team representing another entity, typically a country or nation, in a given sport or activity.
  • C. nationalTeamSport
    Indicates that a particular sport is officially designated as the national team sport of a given country or region.
  • D. nationalTeamSystem
    Indicates a relationship where an entity is part of, governed by, or operates within a specific national team structure or organizational system.
  • E. nationalTeamCode
    Indicates the code that identifies the national team associated with an entity.
  • F. None of above.

Provenance (3 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_69f76ddb3a708190b521ba2970b17178 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
Created at: May 3, 2026, 4:02 p.m.