Triple
T36979437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierra del Vino |
E914784
|
entity |
| Predicate | trademarkLanguage |
P123322
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Tierra del Vino, trademarkLanguage, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trademarkLanguage Context triple: [Tierra del Vino, trademarkLanguage, Spanish]
-
A.
officialLanguageOfBranding
Indicates that a particular language is used as the official or primary language in the branding or marketing materials of an entity.
-
B.
legalDesignationLanguage
chosen
Indicates the language in which a legal designation, status, or title is formally expressed or recorded.
-
C.
labelMarketingLanguage
Indicates that one entity is designated as the marketing-oriented label or phrasing used to promote or describe another entity.
-
D.
languageInLaw
Indicates that a specific language is used as the official or operative language within a particular law or legal document.
-
E.
emblemLanguage
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular language.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.