Triple
T21225409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media Resource Function Controller |
E523073
|
entity |
| Predicate | usesProtocol |
P203
|
FINISHED |
| Object | Megaco |
—
|
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: Megaco | Statement: [Media Resource Function Controller, usesProtocol, Megaco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megaco Context triple: [Media Resource Function Controller, usesProtocol, Megaco]
-
A.
Megaco
chosen
Megaco is a signaling protocol used in telecommunications networks to control media gateways that connect different types of communication systems, such as VoIP and traditional telephone networks.
-
B.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
C.
Opal Telecom
Opal Telecom was a UK-based telecommunications provider that became part of TalkTalk’s business services operations following its acquisition.
-
D.
Radisys
Radisys is a U.S.-based telecommunications solutions company known for providing open telecom and digital infrastructure platforms to service providers and network operators worldwide.
-
E.
Avaya
Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
- 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_69e734aa82c4819086cef6364619b4e9 |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:44 p.m.