Triple
T30184412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Ounianga UNESCO World Heritage Site |
E767295
|
entity |
| Predicate | UNESCOLanguageName_en |
P158123
|
FINISHED |
| Object | Lakes of Ounianga |
—
|
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: Lakes of Ounianga | Statement: [Lake Ounianga UNESCO World Heritage Site, UNESCOLanguageName_en, Lakes of Ounianga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNESCOLanguageName_en Context triple: [Lake Ounianga UNESCO World Heritage Site, UNESCOLanguageName_en, Lakes of Ounianga]
-
A.
UNESCOLongName
Indicates that an entity is identified by its full official name as recognized by UNESCO.
-
B.
UNESCODocumentLanguage
Indicates that a document associated with UNESCO is written in, or officially uses, a particular language.
-
C.
UNESCOSiteNameLanguage
chosen
Indicates the language in which a UNESCO site’s name is expressed.
-
D.
languageOfAwardingInstitution
Indicates the language in which the awarding institution formally grants or documents the award.
-
E.
taughtAsForeignLanguageIn
Indicates that a language is taught as a foreign (non-native) language within a particular educational context or institution.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 7:27 p.m.