Triple
T23915303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DOCG |
E602066
|
entity |
| Predicate | translationEnglish |
P31361
|
FINISHED |
| Object | Denomination of Controlled and Guaranteed Origin |
—
|
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: Denomination of Controlled and Guaranteed Origin | Statement: [DOCG, translationEnglish, Denomination of Controlled and Guaranteed Origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationEnglish Context triple: [DOCG, translationEnglish, Denomination of Controlled and Guaranteed Origin]
-
A.
EnglishTranslation
chosen
Indicates that one expression is the English-language translation equivalent of another expression.
-
B.
textTranslation
Indicates a relationship where one text is rendered into another language or form while preserving its original meaning.
-
C.
translationApproximate
Indicates that one entity is an inexact or approximate translation of another, preserving general meaning but not precise wording or full detail.
-
D.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
-
E.
EnglishTranslatorOfWork
Indicates that one entity is the person who translated a specific work into English.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9917808190ad66a4e276a24b3d |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.