Triple
T8228231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 84 of the Constitution of Italy |
E192223
|
entity |
| Predicate | numberInConstitution |
P1638
|
FINISHED |
| Object | 84 |
—
|
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: 84 | Statement: [Article 84 of the Constitution of Italy, numberInConstitution, 84]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInConstitution Context triple: [Article 84 of the Constitution of Italy, numberInConstitution, 84]
-
A.
constitutionalNumber
chosen
Indicates that an entity has a specific number or count defined or constrained by a constitution or foundational governing document.
-
B.
constitutionalName
Indicates the official name of an entity as defined or recognized in its constitution or foundational legal document.
-
C.
commissionConstitutionalArticle
Indicates that a commission is established, defined, or empowered by a specific article of a constitution.
-
D.
identifiesCorrectConstitution
Indicates that an entity correctly determines, selects, or recognizes the appropriate constitution in a given context.
-
E.
lengthComparedToUSConstitution
Indicates how the length of a given text compares to that of the United States Constitution (e.g., shorter, equal, or longer).
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb780051988190adb47c02e0dcea51 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:46 p.m.