Triple

T35642597
Position Surface form Disambiguated ID Type / Status
Subject Thonburi Palace E1029911 entity
Predicate successorPalace P201818 FINISHED
Object Grand Palace 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: Grand Palace | Statement: [Thonburi Palace, successorPalace, Grand Palace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorPalace
Context triple: [Thonburi Palace, successorPalace, Grand Palace]
  • A. successorRealm
    Indicates that one realm directly follows and replaces another in a sequence of realms or domains.
  • B. successorInExile
    Indicates that one entity is the designated or recognized successor to another while both are in exile or outside their rightful domain.
  • C. successorAsRegent
    Indicates that one entity assumes the role of regent following another, serving as their successor in that governing capacity.
  • D. successorAsQueen
    Indicates that one entity became queen directly after another, inheriting the queenship as her successor.
  • E. successorAsPrince
    Indicates that one individual directly follows another in holding the title or role of prince.
  • 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_69f76e087bdc8190a4794bf9c0bd7634 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a00262d71488190a769783fb09e5803 completed May 10, 2026, 6:31 a.m.
PD Predicate disambiguation batch_6a0023985f148190a335a3fb93e9981e completed May 10, 2026, 6:20 a.m.
PDg Predicate description generation batch_6a00262cc9408190b95076a2d3da057d completed May 10, 2026, 6:31 a.m.
Created at: May 3, 2026, 4:05 p.m.