Triple
T36124755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattleya Producciones (Spain) |
E1044848
|
entity |
| Predicate | languageOfMarketFocus |
P39166
|
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: [Cattleya Producciones (Spain), languageOfMarketFocus, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMarketFocus Context triple: [Cattleya Producciones (Spain), languageOfMarketFocus, Spanish]
-
A.
primaryLanguageMarket
Indicates that a particular language is the main or dominant language used within a given market or market segment.
-
B.
marketNameLanguage
Indicates the language in which a market’s name is expressed or recorded.
-
C.
languageOfPrimaryMarkets
chosen
Indicates the primary language or languages used in the main markets where an entity operates or targets its products or services.
-
D.
languageOfAds
Indicates that the specified language is used in the advertisements associated with the given entity.
-
E.
labelMarketingLanguage
Indicates that one entity is designated as the marketing-oriented label or phrasing used to promote or describe another entity.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0115fb84448190b8b67a5ace7b289a |
completed | May 10, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_6a0114ef60a081908f8db7868cf29b2f |
completed | May 10, 2026, 11:29 p.m. |
Created at: May 3, 2026, 4:08 p.m.