Triple
T607179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coq gaulois |
E12019
|
entity |
| Predicate | culturalMeaning |
P1579
|
FINISHED |
| Object | national pride |
—
|
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: national pride | Statement: [Coq gaulois, culturalMeaning, national pride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalMeaning Context triple: [Coq gaulois, culturalMeaning, national pride]
-
A.
hasCulturalConcept
Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
-
B.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
C.
hasCulturalSignificance
chosen
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
-
D.
isCulturalSignificance
Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
-
E.
culturalVariation
Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.