Triple
T30966250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BFA |
E788964
|
entity |
| Predicate | hasCountryNameFrench |
P6538
|
FINISHED |
| Object | Burkina Faso |
E42862
|
NE 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: Burkina Faso | Statement: [BFA, hasCountryNameFrench, Burkina Faso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryNameFrench Context triple: [BFA, hasCountryNameFrench, Burkina Faso]
-
A.
hasOfficialFrenchName
Indicates that an entity possesses an officially recognized name in the French language.
-
B.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
C.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
D.
countryNameShortFrench
Indicates that an entity has a short-form country name expressed in the French language.
-
E.
recognizedAsFrenchBy
Indicates that an entity is regarded or acknowledged as French by a specified agent or group.
- F. None of above.
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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a01b3af7b908190b4675c85d32d106c |
completed | May 11, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2958f703a48190a8ef1730df271289 |
completed | June 10, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_6a01b35813c081908e484b2b9ca5dd05 |
completed | May 11, 2026, 10:45 a.m. |
Created at: April 29, 2026, 8:54 p.m.