Triple

T15558607
Position Surface form Disambiguated ID Type / Status
Subject Helenio Herrera E370935 entity
Predicate managedClub P3239 FINISHED
Object Sevilla FC E120796 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: Sevilla FC | Statement: [Helenio Herrera, managedClub, Sevilla FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevilla FC
Context triple: [Helenio Herrera, managedClub, Sevilla FC]
  • A. Sevilla FC chosen
    Sevilla FC is a professional Spanish football club based in Seville, best known for its success in European competitions, particularly the UEFA Europa League.
  • B. Sevilla Atlético
    Sevilla Atlético is the reserve team of Spanish football club Sevilla FC, competing in the lower divisions and serving as a development squad for young and emerging players.
  • C. Málaga CF
    Málaga CF is a Spanish professional football club based in Málaga that has competed in La Liga and European competitions, notably the UEFA Champions League.
  • D. Real Sociedad
    Real Sociedad is a professional football club based in San Sebastián, Spain, known for competing in La Liga and developing talented Spanish players.
  • E. Vélez-Málaga
    Vélez-Málaga is a historic coastal town in southern Spain’s Andalusia region, known as an important agricultural and tourist center in the eastern Costa del Sol.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9300c5481909b719b65dcf548bf completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:09 a.m.