Triple

T1998767
Position Surface form Disambiguated ID Type / Status
Subject Irish tricolour E43416 entity
Predicate differenceFromFlagOfIvoryCoast P35386 FINISHED
Object reversed colour order 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: reversed colour order | Statement: [Irish tricolour, differenceFromFlagOfIvoryCoast, reversed colour order]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differenceFromFlagOfIvoryCoast
Context triple: [Irish tricolour, differenceFromFlagOfIvoryCoast, reversed colour order]
  • A. nationalFlagColor
    Indicates that a specific color appears on the national flag of a given country.
  • B. isWarEnsignOf
    Indicates that one entity is the war ensign (a specific military or wartime flag) representing or belonging to another entity.
  • C. nationalFlag
    Indicates that one entity is the official national flag representing the other entity (a country or nation).
  • D. CEMACMember
    Indicates that an entity is a member state or participant within the Central African Economic and Monetary Community (CEMAC).
  • E. isCivilEnsignOf
    Indicates that an object is the civil (non-military) ensign or flag officially used to represent a particular entity, typically a country or territory.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb91055d88190a980e7b42e5895d4 completed March 7, 2026, 5:35 a.m.
PD Predicate disambiguation batch_69abb79c97d48190b3147430ed39faa9 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb90ec7948190bbfb0329e9e67cca completed March 7, 2026, 5:35 a.m.
Created at: March 4, 2026, 7:37 p.m.