Triple
T18238809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Democratic Party |
E436750
|
entity |
| Predicate | statutoryLanguage |
P34970
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [European Democratic Party, statutoryLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statutoryLanguage Context triple: [European Democratic Party, statutoryLanguage, French]
-
A.
languageOfLegalCode
Indicates that a specified language is the language in which a particular legal code or body of law is written or officially expressed.
-
B.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
-
C.
languageOfPromulgation
Indicates the language in which a law, decree, or official act is formally issued or proclaimed.
-
D.
hasLanguageLegislation
Indicates that there exists formal legislation or legal provisions governing the use, status, or regulation of language in relation to the subject entity.
-
E.
languageOfJurisdiction
chosen
Indicates the language officially used for legal and administrative purposes within a given jurisdiction.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e0a0ac819090d48ae45b1ebfc9 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:33 a.m.