Triple

T26030799
Position Surface form Disambiguated ID Type / Status
Subject Vietnamese Australians E647424 entity
Predicate ancestralCitizenship P92857 FINISHED
Object Vietnamese citizenship 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: Vietnamese citizenship | Statement: [Vietnamese Australians, ancestralCitizenship, Vietnamese citizenship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ancestralCitizenship
Context triple: [Vietnamese Australians, ancestralCitizenship, Vietnamese citizenship]
  • A. hasAncestralCitizenshipOf chosen
    Indicates that an entity holds or is recognized as holding citizenship of another entity based on ancestral or lineage connections rather than solely on birth or residence.
  • B. formerCitizenship
    Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
  • C. hasMotherCitizenship
    Indicates that the mother of a given person holds citizenship in a specified country or jurisdiction.
  • D. citizenshipInheritance
    Indicates that an individual acquires or derives their citizenship from another person, typically a parent or ancestor, through legal or hereditary transmission.
  • 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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605efbc1c81908d1137f310d781ad completed May 2, 2026, 2:10 p.m.
PD Predicate disambiguation batch_69f5aff889988190ad10bcf1a280f717 completed May 2, 2026, 8:04 a.m.
Created at: April 22, 2026, 9:06 a.m.