Triple

T944772
Position Surface form Disambiguated ID Type / Status
Subject French Constitution of 1791 E20387 entity
Predicate definedCitizenship P22055 FINISHED
Object active citizens and passive 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: active citizens and passive citizens | Statement: [French Constitution of 1791, definedCitizenship, active citizens and passive citizens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definedCitizenship
Context triple: [French Constitution of 1791, definedCitizenship, active citizens and passive citizens]
  • A. countryOfCitizenship
    Indicates the country in which a person or entity holds legal citizenship.
  • B. namedAfterCountryOfCitizenship
    Indicates that something is named after the country where a person holds citizenship.
  • 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. citizenshipLinkedTo
    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.
  • E. acquireCitizenshipBy
    Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a3ed3881908386af140477c514 completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b29dc8dc8190b9d33f70f8563d61 completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b344f6f48190ba03ce593c94176b completed March 1, 2026, 9:44 p.m.
Created at: March 1, 2026, 7:40 p.m.