Triple
T1378592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breton |
E29282
|
entity |
| Predicate | statusInFrance |
P27128
|
FINISHED |
| Object | not an official language at national level |
—
|
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: not an official language at national level | Statement: [Breton, statusInFrance, not an official language at national level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInFrance Context triple: [Breton, statusInFrance, not an official language at national level]
-
A.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
B.
statusInRepublicOfIreland
Indicates the legal or official status that an entity holds within the jurisdiction of the Republic of Ireland.
-
C.
statusInRussia
Indicates the legal, social, or operational condition or standing that something or someone has specifically within the context of Russia.
-
D.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
deFactoStatus
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
- F. None of above. chosen
Provenance (4 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3173548819082aec7c1af9c577c |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0335f7081908d50046ced4cdee0 |
completed | March 1, 2026, 10:39 p.m. |
Created at: March 1, 2026, 7:59 p.m.