Triple

T30579389
Position Surface form Disambiguated ID Type / Status
Subject Coat of arms of Panama E778337 entity
Predicate upperFieldSymbolism P139747 FINISHED
Object abandonment of weapons and end of civil wars LITERAL FINISHED

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: abandonment of weapons and end of civil wars | Statement: [Coat of arms of Panama, upperFieldSymbolism, abandonment of weapons and end of civil wars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: upperFieldSymbolism
Context triple: [Coat of arms of Panama, upperFieldSymbolism, abandonment of weapons and end of civil wars]
  • A. shapeSymbolism
    Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
  • B. languageOfSymbolism
    Indicates that one entity is the language in which the symbolic meaning or symbolism of another entity is expressed or encoded.
  • C. fieldSymbolism chosen
    Indicates the symbolic meaning or thematic associations that a field (as a setting, area, or domain) conveys within a given context.
  • D. emblemSymbolism
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • E. symbolismFocus
    Indicates that the primary emphasis of a work, element, or representation is on its symbolic meaning rather than its literal or functional aspects.
  • 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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68f670b608190a0b6ab60d722b4e0 completed May 2, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69f68b7b03488190b1db5fde4c7dd6e5 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:23 p.m.