Triple

T22879302
Position Surface form Disambiguated ID Type / Status
Subject Codice dei beni culturali e del paesaggio E567415 entity
Predicate numeroAtto P1117 FINISHED
Object 42 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: 42 | Statement: [Codice dei beni culturali e del paesaggio, numeroAtto, 42]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numeroAtto
Context triple: [Codice dei beni culturali e del paesaggio, numeroAtto, 42]
  • A. hasNumberInActa
    Indicates that an entity is associated with a specific identifying number recorded in an official acta (formal record or document).
  • B. opusNumber
    Indicates that a creative work is assigned a specific opus number identifying its place within a creator’s catalog or chronological sequence of works.
  • C. publicLawNumber chosen
    Indicates the specific public law identifier associated with a legislative act or statute.
  • D. numberOfActs
    Indicates the total count of discrete acts or actions associated with a given entity or event.
  • E. isNumberInAct
    Indicates that a specific number appears within, or is associated with, a particular act (such as a legal act, play act, or similar structured unit).
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5b1ea481909a31a8ed6792ad04 completed April 29, 2026, 3:47 a.m.
PD Predicate disambiguation batch_69ef3b6b2e2481908258156937b5a745 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:39 p.m.