Triple
T34853074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fête des Filets Bleus |
E1004651
|
entity |
| Predicate | langue principale |
P1252
|
FINISHED |
| Object | français |
—
|
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: français | Statement: [fête des Filets Bleus, langue principale, français]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: langue principale Context triple: [fête des Filets Bleus, langue principale, français]
-
A.
mainLanguageOf
Indicates that a specified language is the primary or dominant language used by a particular entity (such as a person, document, or organization).
-
B.
primaryLanguageOf
chosen
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
C.
primaryLanguageIn
Indicates that a specified language is the main or official language used within a particular place, organization, or context.
-
D.
languageOfPrimaryCult
Indicates that a specified language is the main or dominant language used in a particular cult’s primary religious practices or rituals.
-
E.
primaryVocalLanguage
Indicates the main spoken language typically used by an entity for vocal communication.
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a009d623f6c8190b702e2892c52fbb2 |
completed | May 10, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_6a009a3050d48190b64567f28e6ea463 |
completed | May 10, 2026, 2:46 p.m. |
Created at: May 3, 2026, 4 p.m.