Triple

T16255625
Position Surface form Disambiguated ID Type / Status
Subject Montjuïc Cemetery E394618 entity
Predicate containsGraveOf P3802 FINISHED
Object Joan Gamper E185618 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: Joan Gamper | Statement: [Montjuïc Cemetery, containsGraveOf, Joan Gamper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Gamper
Context triple: [Montjuïc Cemetery, containsGraveOf, Joan Gamper]
  • A. Joan Gamper chosen
    Joan Gamper was a Swiss football pioneer and sports executive best known as the founder and early driving force behind FC Barcelona.
  • B. Hans Max Gamper-Haessig
    Hans Max Gamper-Haessig, better known as Joan Gamper, was a Swiss-born sportsman and entrepreneur who founded FC Barcelona and served multiple terms as its president.
  • C. Hugo Meisl
    Hugo Meisl was an influential Austrian football coach and administrator best known for managing the legendary "Wunderteam" of the early 1930s.
  • D. Jules Rimet
    Jules Rimet was a French football administrator best known as the long-serving FIFA president who founded the FIFA World Cup tournament.
  • E. Luigi Bianchi
    Luigi Bianchi was an Italian mathematician known for his influential work in differential geometry and the theory of Riemannian manifolds.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.