Triple
T3008776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agence universitaire de la Francophonie |
E81964
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | AUF |
E81964
|
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: AUF | Statement: [Agence universitaire de la Francophonie, abbreviation, AUF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUF Context triple: [Agence universitaire de la Francophonie, abbreviation, AUF]
-
A.
AUF
chosen
AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
-
B.
AUF
AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
-
C.
AFT
AFT is a major American labor union representing teachers and other education professionals across the United States.
-
D.
AÜ
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
-
E.
AUL
AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ba6988190be29c00cd4266941 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5f612c8190824deb0813a9f981 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.