Triple

T4953127
Position Surface form Disambiguated ID Type / Status
Subject Flag of Manchukuo E111214 entity
Predicate religiousSymbolOnFlag P60140 FINISHED
Object none 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: none | Statement: [Flag of Manchukuo, religiousSymbolOnFlag, none]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousSymbolOnFlag
Context triple: [Flag of Manchukuo, religiousSymbolOnFlag, none]
  • A. nationalFlag
    Indicates that one entity is the official national flag representing the other entity (a country or nation).
  • B. emblemSymbolism
    Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
  • C. hasNationalSymbol
    Indicates that an entity possesses or is associated with an officially recognized national symbol of a country or nation.
  • D. symbolizesNationalSovereignty
    Indicates that something serves as a representation or emblem of a nation's sovereignty or independent authority.
  • E. vexillologicalCategory
    Indicates the classification of something within a specific category or type used in the study of flags.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b82dd88190adfb08c3b3191fe0 completed March 20, 2026, 4:11 p.m.
PD Predicate disambiguation batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa completed March 20, 2026, 3:48 p.m.
PDg Predicate description generation batch_69bd6fa2d2088190ae444d3d0e47d5d2 completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1:31 p.m.