Triple
T1503637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandberg |
E33850
|
entity |
| Predicate | technology |
P1485
|
FINISHED |
| Object |
H.323
H.323 is an ITU-T standard that defines protocols for voice, video, and data communication over packet-based networks such as IP.
|
E171421
|
NE FINISHED |
How this triple was built (4 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: H.323 | Statement: [Tandberg, technology, H.323]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H.323 Context triple: [Tandberg, technology, H.323]
-
A.
H.248
H.248 is an ITU-T protocol, also known as Megaco, used for controlling media gateways in next-generation and IP multimedia networks.
-
B.
G.722
G.722 is a wideband audio codec standard that provides higher-quality voice transmission than traditional narrowband codecs, commonly used in VoIP and teleconferencing applications.
-
C.
G.729
G.729 is a widely used ITU-T audio codec standard that compresses voice for bandwidth-efficient transmission in VoIP and other telephony applications.
-
D.
G.711
G.711 is a widely used ITU-T audio codec standard for pulse code modulation (PCM) of voice in traditional telephony and VoIP systems.
-
E.
Tandberg
Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: H.323 Triple: [Tandberg, technology, H.323]
Generated description
H.323 is an ITU-T standard that defines protocols for voice, video, and data communication over packet-based networks such as IP.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H.323 Target entity description: H.323 is an ITU-T standard that defines protocols for voice, video, and data communication over packet-based networks such as IP.
-
A.
H.248
H.248 is an ITU-T protocol, also known as Megaco, used for controlling media gateways in next-generation and IP multimedia networks.
-
B.
G.722
G.722 is a wideband audio codec standard that provides higher-quality voice transmission than traditional narrowband codecs, commonly used in VoIP and teleconferencing applications.
-
C.
G.729
G.729 is a widely used ITU-T audio codec standard that compresses voice for bandwidth-efficient transmission in VoIP and other telephony applications.
-
D.
G.711
G.711 is a widely used ITU-T audio codec standard for pulse code modulation (PCM) of voice in traditional telephony and VoIP systems.
-
E.
Tandberg
Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
- F. None of above. chosen
Provenance (5 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872fae4c81908e7d6961e6c5fa96 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb578e4819082d254462e10e4f0 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1d34656481909949b4bfd83c6142 |
completed | March 8, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1dd7b34c8190b6957be2112506dd |
completed | March 8, 2026, 6:57 a.m. |
Created at: March 4, 2026, 7:24 p.m.