Triple
T32880399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aigles Bleus |
E841045
|
entity |
| Predicate | representsLinguisticCommunity |
P5562
|
FINISHED |
| Object | Acadian and Francophone community |
—
|
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: Acadian and Francophone community | Statement: [Aigles Bleus, representsLinguisticCommunity, Acadian and Francophone community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsLinguisticCommunity Context triple: [Aigles Bleus, representsLinguisticCommunity, Acadian and Francophone community]
-
A.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
B.
isCommonInLinguisticCommunity
Indicates that something (such as a word, expression, or linguistic feature) is widely used or frequently occurs within a particular linguistic community.
-
C.
representsLanguageFamily
Indicates that one entity is a language (or group of languages) that belongs to, or is classified under, the language family represented by the other entity.
-
D.
formerLanguageCommunity
Indicates that a group or community previously used a particular language but no longer does so.
-
E.
representedCommunitiesIn
Indicates that an entity acted on behalf of or served as a representative for certain communities within a given context or domain.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 1:18 a.m.