Triple

T11813701
Position Surface form Disambiguated ID Type / Status
Subject Romania and Moldova E280940 entity
Predicate shareCitizenshipLinks P13310 FINISHED
Object Romanian citizenship for many Moldovan citizens 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: Romanian citizenship for many Moldovan citizens | Statement: [Romania and Moldova, shareCitizenshipLinks, Romanian citizenship for many Moldovan citizens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareCitizenshipLinks
Context triple: [Romania and Moldova, shareCitizenshipLinks, Romanian citizenship for many Moldovan citizens]
  • A. citizenshipLinkedTo chosen
    Indicates that there is an established connection between an entity and a specific citizenship status, such as holding, sharing, or being associated with that citizenship.
  • B. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • C. isCitizenOf
    Indicates that a person holds legal nationality or citizenship status in a particular country or state.
  • D. citizenshipContext
    Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
  • E. countryOfCitizenship
    Indicates the country in which a person or entity holds legal citizenship.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a658f918819092c2db05fe2ab0ce completed April 10, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69d8a24e9a088190aff7932d1ff93dbf completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:42 p.m.