Triple

T21387898
Position Surface form Disambiguated ID Type / Status
Subject Sergio Marquina E527553 entity
Predicate partnerAlias P68532 FINISHED
Object Lisbon NE NERFINISHED

How this triple was built (3 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: Lisbon | Statement: [Sergio Marquina, partnerAlias, Lisbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon
Context triple: [Sergio Marquina, partnerAlias, Lisbon]
  • A. Lisbon
    Lisbon is the coastal capital city of Portugal, renowned for its historic architecture, hilly landscape, and role as a major cultural and economic center in Europe.
  • B. Lisbon chosen
    Lisbon is the alias of Raquel Murillo, a former police inspector who becomes one of the central members of the Professor’s gang in the Spanish series "Money Heist" (La Casa de Papel).
  • C. Lisbon
    Lisbon is a small village in Kendall County, Illinois, United States, known for its rural character and tight-knit community.
  • D. Porto
    Porto is Portugal’s second-largest city, renowned for its historic riverside district, rich maritime heritage, and production of port wine.
  • E. Porto
    Porto is a small coastal town in western Corsica, France, known as the main gateway to the scenic Gulf of Porto and its surrounding natural reserves and rock formations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partnerAlias
Context triple: [Sergio Marquina, partnerAlias, Lisbon]
  • A. partnerCodename chosen
    Indicates that one entity is associated with another entity through a designated partner-specific codename or alias.
  • B. partnerNation
    Indicates that one entity is recognized as a collaborating or allied nation in relation to another entity.
  • C. partnerInOrganizationWith
    Indicates that two entities are associated as partners within the same organization or organizational context.
  • D. partnerAgency
    Indicates a formal collaborative relationship in which one agency acts as a partner to another agency.
  • E. cooperationPartner
    Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cb05288190a894f33850e22c03 completed April 26, 2026, 7:08 p.m.
PD Predicate disambiguation batch_69e6162bbfc88190a3e75859941b2638 completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:12 p.m.