Triple
T34396463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambrosian particular law |
E882843
|
entity |
| Predicate | languageOfNorms |
P147525
|
FINISHED |
| Object | Italian |
—
|
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 | Statement: [Ambrosian particular law, languageOfNorms, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfNorms Context triple: [Ambrosian particular law, languageOfNorms, Italian]
-
A.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
-
B.
languageInLaw
chosen
Indicates that a specific language is used as the official or operative language within a particular law or legal document.
-
C.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
-
D.
officialLanguageOfRules
Indicates that a specified language is the formally designated language used for the rules or regulations of a given entity or system.
-
E.
nationalLanguageStandardizedIn
Indicates that a national language has been formally standardized or codified within a particular country or jurisdiction.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: May 1, 2026, 1:59 a.m.