Triple
T21226680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRF |
E523100
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | UPF |
—
|
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: UPF | Statement: [NRF, interactsWith, UPF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPF Context triple: [NRF, interactsWith, UPF]
-
A.
UPF
chosen
UPF (User Plane Function) is a core network component in 5G architecture responsible for handling user data traffic, including packet routing, forwarding, and policy enforcement.
-
B.
Waco UPF-7
The Waco UPF-7 is a 1930s American open-cockpit biplane trainer widely used for civilian flight instruction and sport flying.
-
C.
UFP
UFP is the common abbreviation for the United Federation of Planets, the interstellar federal republic central to the Star Trek universe.
-
D.
UVS
UVS is a scientific instrument that captures and analyzes ultraviolet light from astronomical or planetary sources to study their composition and physical properties.
-
E.
UV
UV is a major Spanish public research university located in Valencia, known for its wide range of academic programs and historical significance.
- 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.