Triple

T24646853
Position Surface form Disambiguated ID Type / Status
Subject Princess of Piedmont E610135 entity
Predicate linkedToThroneOf P156902 FINISHED
Object Italy 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: Italy | Statement: [Princess of Piedmont, linkedToThroneOf, Italy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linkedToThroneOf
Context triple: [Princess of Piedmont, linkedToThroneOf, Italy]
  • A. linkedToThroneOf chosen
    Indicates a relationship where an entity is connected or related to a specific throne, typically through authority, succession, or symbolic association.
  • B. throne
    Indicates that an entity holds or occupies a position of sovereign authority or rulership, typically as a monarch.
  • C. broughtToThroneBy
    Indicates that an individual attained a throne or royal position through the actions, support, or intervention of another party.
  • D. invitedToThrone
    Indicates that one entity has been formally asked or summoned to be present at, or potentially take a role in, a throne or royal seat of power.
  • E. securedThroneBy
    Indicates that one entity obtained or maintained a throne or rulership position through the actions, support, or intervention of another 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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f422aee0408190899efe7e24ef2b40 completed May 1, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69f420e92cc88190a803aecdae78a051 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 2:33 a.m.