Triple

T33705478
Position Surface form Disambiguated ID Type / Status
Subject Vice President of Gabon E863576 entity
Predicate capitalOfCountrySeat P193896 FINISHED
Object Libreville NE NERFINISHED

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: Libreville | Statement: [Vice President of Gabon, capitalOfCountrySeat, Libreville]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capitalOfCountrySeat
Context triple: [Vice President of Gabon, capitalOfCountrySeat, Libreville]
  • A. mainSeatOf
    Indicates that one entity serves as the primary or central seat (e.g., of government, administration, or authority) for another entity.
  • B. capitalCityResidenceOf
    Indicates that a person or entity resides in the capital city of a specified country or region.
  • C. provinceSeatCountry
    Indicates that a country serves as the national context or sovereign state for the seat (capital/administrative center) of a given province.
  • D. capitalOftenLocatedIn
    Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
  • E. countryCapitalOfSeat
    Indicates that a country serves as the capital location or official seat of a specified entity, such as an organization or institution.
  • F. None of above. chosen

Provenance (4 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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd592e48cc81909d754cc6c4bd99ae completed May 8, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69fd58b7f9b881909dc099b28d567784 completed May 8, 2026, 3:30 a.m.
PDg Predicate description generation batch_69fd592cc56081908ce456114d407616 completed May 8, 2026, 3:31 a.m.
Created at: May 1, 2026, 1:43 a.m.