Triple
T21226677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRF |
E523100
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | AUSF |
—
|
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: AUSF | Statement: [NRF, interactsWith, AUSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUSF Context triple: [NRF, interactsWith, AUSF]
-
A.
AUSF
chosen
AUSF (Authentication Server Function) is a 5G core network function responsible for handling user authentication and related security procedures within 3GPP-defined mobile networks.
-
B.
AUF
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.
-
C.
AUF
AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
-
D.
AUF
AUF is the governing body responsible for organizing and regulating football (soccer) in Uruguay, including its national teams and domestic competitions.
-
E.
Nudm
Nudm is a 5G core network service-based interface used for communication between the Access and Mobility Management Function (AMF) and the Unified Data Management (UDM) for user and mobility-related data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ac42a08190b95a24acf5f0779b |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:44 p.m.