Triple
T33502987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalanism |
E858044
|
entity |
| Predicate | keyLanguage |
P95954
|
FINISHED |
| Object | Catalan |
—
|
NE NERFINISHED |
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: Catalan | Statement: [Catalanism, keyLanguage, Catalan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyLanguage Context triple: [Catalanism, keyLanguage, Catalan]
-
A.
languageOfKeyText
chosen
Indicates that a specified language is the primary language in which a given key or central text is written.
-
B.
capitalLanguage
Indicates that the specified language is the primary or official language used in the capital city of a given entity.
-
C.
termLanguage
Indicates the language in which a given term is expressed or defined.
-
D.
keyWorld
Indicates that one entity functions as a primary or central concept (a "key word") in relation to another entity, such as a topic, document, or context.
-
E.
languageCategory
Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e59cb7ac81909531fb256dadb474 |
completed | May 3, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69f6e3db74c081909a991309d835d477 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:38 a.m.