Triple
T28260019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dialogues des Carmélites |
E712557
|
entity |
| Predicate | otherLanguageVersion |
P123131
|
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: [Dialogues des Carmélites, otherLanguageVersion, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherLanguageVersion Context triple: [Dialogues des Carmélites, otherLanguageVersion, Italian]
-
A.
officialLanguageVersion
Indicates that one language variant is the officially recognized form or version used for formal or administrative purposes in relation to another language or context.
-
B.
otherLanguage
Indicates that an entity has or uses an additional language distinct from its primary or main language.
-
C.
primaryLanguageVersion
Indicates that one language version of a resource is designated as the main or default version among its language variants.
-
D.
workLanguageVariant
chosen
Indicates that one language variant of a work is related to another version of the same work, typically differing by language or localization.
-
E.
languageEquivalent
Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 11:11 p.m.