Triple

T1083946
Position Surface form Disambiguated ID Type / Status
Subject Italian Constitutional Court E24008 entity
Predicate appointmentRequirement P23765 FINISHED
Object Italian 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: Italian citizenship | Statement: [Italian Constitutional Court, appointmentRequirement, Italian citizenship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appointmentRequirement
Context triple: [Italian Constitutional Court, appointmentRequirement, Italian citizenship]
  • A. bookingRequirement
    Indicates that a particular condition, rule, or prerequisite must be satisfied in order to make or confirm a booking.
  • B. workRequirement
    Indicates that one entity imposes or specifies a condition related to work that another entity must fulfill.
  • C. requiredBy
    Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
  • D. requiredOccupationOf
    Indicates that one entity specifies the occupation or job role that is required or expected for another entity (such as a position, task, or qualification).
  • E. publicationRequirement
    Indicates that an entity must be publicly disclosed or published as a condition for validity, compliance, or progression in a process.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9608bac819085196cc0f8fbb2e7 completed March 1, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69a4b73f4310819086281f8ec67d1a32 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b80f0fb08190a19a50e38ae8f16c completed March 1, 2026, 10:05 p.m.
Created at: March 1, 2026, 7:42 p.m.