Triple

T3570312
Position Surface form Disambiguated ID Type / Status
Subject Vatican citizen E75553 entity
Predicate citizenshipLoss P4309 FINISHED
Object ends when service to Holy See ends in many cases 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: ends when service to Holy See ends in many cases | Statement: [Vatican citizen, citizenshipLoss, ends when service to Holy See ends in many cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: citizenshipLoss
Context triple: [Vatican citizen, citizenshipLoss, ends when service to Holy See ends in many cases]
  • A. mayLoseCitizenshipBy chosen
    Indicates that an entity is at risk of losing its citizenship as a consequence of a specified condition, action, or circumstance.
  • B. citizenshipRevokedBy
    Indicates that an entity’s citizenship was formally withdrawn or canceled by another specified authority or agent.
  • C. laterCitizenship
    Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
  • D. countryOfCitizenship
    Indicates the country in which a person or entity holds legal citizenship.
  • E. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c1ecb081909051bcc1f38eea31 completed March 8, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69adb8364d848190a96a9bc7a6126af2 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.