Triple
T28812008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Benin |
E727537
|
entity |
| Predicate | officeLanguageName |
P159039
|
FINISHED |
| Object | Président de la République du Bénin |
—
|
NE NERFINISHED |
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: Président de la République du Bénin | Statement: [President of Benin, officeLanguageName, Président de la République du Bénin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeLanguageName Context triple: [President of Benin, officeLanguageName, Président de la République du Bénin]
-
A.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
B.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
-
C.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
-
D.
officeNameInOfficialLanguage
chosen
Indicates that an office’s title or name is given specifically in the official language of the relevant jurisdiction or organization.
-
E.
workLanguageVariant
Indicates that one language variant of a work is related to another version of the same work, typically differing by language or localization.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 28, 2026, 6:31 a.m.