Triple

T11893388
Position Surface form Disambiguated ID Type / Status
Subject Neo Química Arena E282974 entity
Predicate sponsor P67 FINISHED
Object Neo Química E953568 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: Neo Química | Statement: [Neo Química Arena, sponsor, Neo Química]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neo Química
Context triple: [Neo Química Arena, sponsor, Neo Química]
  • A. Neo Química chosen
    Neo Química is a Brazilian pharmaceutical company best known in sports for its naming sponsorship of the Neo Química Arena, home stadium of Corinthians in São Paulo.
  • B. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • C. Companhia Siderúrgica Nacional
    Companhia Siderúrgica Nacional is one of Brazil’s largest integrated steel producers, historically significant for driving the country’s industrialization.
  • D. Suzano
    Suzano is a municipality in the eastern part of the São Paulo metropolitan region in Brazil, known for its industrial activity and integration into Greater São Paulo’s urban area.
  • E. Ensidesa
    Ensidesa was a major Spanish state-owned steel company that played a central role in Spain’s industrial development during the mid-20th century.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1172988190a2c13d37220f2f93 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fe43c7c8190a85d464fd48e00d9 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:44 p.m.