Triple
T24305171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COD |
E612513
|
entity |
| Predicate | countryNameShortFrench |
P155490
|
FINISHED |
| Object | Congo, République démocratique du |
E9695
|
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: Congo, République démocratique du | Statement: [COD, countryNameShortFrench, Congo, République démocratique du]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryNameShortFrench Context triple: [COD, countryNameShortFrench, Congo, République démocratique du]
-
A.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
B.
countryNameGerman
Indicates the German-language name used to refer to a given country.
-
C.
countryLabel
Indicates the name or label of the country associated with an entity.
-
D.
countryNameInISO
Indicates that the country’s name is expressed using the ISO-standardized country naming or coding format.
-
E.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
- F. None of above. chosen
Provenance (5 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922641bc81908fa3595941e60741 |
completed | April 29, 2026, 11:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101bd549648190a2bbc355cf2b1251 |
completed | May 22, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:30 a.m.