Triple
T21226673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRF |
E523100
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | AMF |
—
|
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: AMF | Statement: [NRF, interactsWith, AMF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMF Context triple: [NRF, interactsWith, AMF]
-
A.
AMF
AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
-
B.
AMF
chosen
AMF is a core 5G network function responsible for managing user access, registration, mobility, and connection handling between devices and the mobile network.
-
C.
AMF
AMF is a major bowling equipment and services company historically known for organizing prominent international bowling competitions, including World Cup events.
-
D.
Amf
Amf is the official station code used to identify Amersfoort Centraal railway station in the Netherlands.
-
E.
AMPS
AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
- 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.