Triple

T2598847
Position Surface form Disambiguated ID Type / Status
Subject Balenciaga E58295 entity
Predicate openedFirstBoutiqueIn P39513 FINISHED
Object San Sebastián, Spain E138087 NE FINISHED

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: San Sebastián, Spain | Statement: [Balenciaga, openedFirstBoutiqueIn, San Sebastián, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Sebastián, Spain
Context triple: [Balenciaga, openedFirstBoutiqueIn, San Sebastián, Spain]
  • A. San Sebastián
    San Sebastián is a Guatemalan town located in the highlands of the San Marcos department, known for its proximity to Central America’s highest peak, Volcán Tajumulco.
  • B. Donostia-San Sebastián chosen
    Donostia-San Sebastián is a coastal city in Spain’s Basque Country renowned for its picturesque bay, beaches, and world-class gastronomy.
  • C. Pamplona
    Pamplona is a historic city in northern Spain, best known internationally for its annual Running of the Bulls during the San Fermín festival.
  • D. Seville, Spain
    Seville, Spain is a historic Andalusian city renowned for its Moorish-influenced architecture, vibrant flamenco culture, and landmarks such as the Seville Cathedral and the Alcázar.
  • E. Martorell, Spain
    Martorell, Spain is a town in Catalonia best known as a major automotive manufacturing hub and home to SEAT’s main production plant.
  • 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: openedFirstBoutiqueIn
Context triple: [Balenciaga, openedFirstBoutiqueIn, San Sebastián, Spain]
  • A. openedAt
    Indicates that an entity began operating, became accessible, or was first made available at a specific time or date.
  • B. officialOpeningYear
    Indicates the calendar year in which something was formally opened or inaugurated for official use.
  • C. firstOpenedAt
    Indicates the date and time at which something was initially opened for the first time.
  • D. officialOpeningDate
    Indicates the calendar date on which something is formally inaugurated or officially opened for use or operation.
  • E. firstUnveiledInCity
    Indicates that something was publicly revealed, introduced, or debuted for the first time in a particular city.
  • F. None of above. chosen

Provenance (5 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4563b8c8190934616651e93654c completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83cc45f8819099d581725a53e527 completed March 10, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69abd0d4e8648190b612eb09aa085451 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1c7b6e48190be9a0c31069df797 completed March 7, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:49 p.m.