Triple

T32086357
Position Surface form Disambiguated ID Type / Status
Subject María Teresa de Vallabriga E819456 entity
Predicate politicalEntityDuringLifetime P46544 FINISHED
Object Kingdom of Spain 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: Kingdom of Spain | Statement: [María Teresa de Vallabriga, politicalEntityDuringLifetime, Kingdom of Spain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalEntityDuringLifetime
Context triple: [María Teresa de Vallabriga, politicalEntityDuringLifetime, Kingdom of Spain]
  • A. politicalEntityAtTime chosen
    Indicates that a political entity exists or holds a particular political status during a specified time period.
  • B. historicalEntityType
    Indicates that an entity belongs to a specific historical category or classification, such as a type, role, or function recognized in a historical context.
  • C. politicalLeaderAssociatedWith
    Indicates that a political leader has an official or notable association with a particular entity, such as an organization, region, or political body.
  • D. wasWorldLeaderIn
    Indicates that an entity held a position as the primary political leader of a specified country or political entity during a particular time period.
  • E. historicalEntityWithin
    Indicates that one historical entity is geographically, administratively, or contextually contained within another historical entity.
  • 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_69f349004b2481908ce2e50af0d579a8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fdb45537288190b6791078d4a6899f completed May 8, 2026, 10 a.m.
PD Predicate disambiguation batch_69fdb39ad96481908376d7def9fafc13 completed May 8, 2026, 9:57 a.m.
Created at: May 1, 2026, 12:24 a.m.