Triple

T5355802
Position Surface form Disambiguated ID Type / Status
Subject Flag of Montserrat E102687 entity
Predicate governorVariant P51707 FINISHED
Object Union Jack defaced with badge of Montserrat 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: Union Jack defaced with badge of Montserrat | Statement: [Flag of Montserrat, governorVariant, Union Jack defaced with badge of Montserrat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governorVariant
Context triple: [Flag of Montserrat, governorVariant, Union Jack defaced with badge of Montserrat]
  • A. governorFlagVariant chosen
    Indicates that one flag is a variant or alternative version specifically associated with a governor or gubernatorial office.
  • B. governorateType
    Indicates the specific classification or category of a governorate within an administrative or governmental hierarchy.
  • C. governorateOf
    Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
  • D. provinceGovernor
    Indicates that one entity serves as the governor or chief administrative authority of a particular province in relation to the other entity.
  • E. governorTitle
    Indicates the official title or designation held by a person serving as a governor.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862f0ea48190bec78690ab3bee51 completed March 20, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.