Triple
T1166453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTCRtpReceiver |
E24809
|
entity |
| Predicate | canBeObtainedFrom |
P25436
|
FINISHED |
| Object | RTCPeerConnection.getTransceivers |
—
|
LITERAL FINISHED |
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: RTCPeerConnection.getTransceivers | Statement: [RTCRtpReceiver, canBeObtainedFrom, RTCPeerConnection.getTransceivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeObtainedFrom Context triple: [RTCRtpReceiver, canBeObtainedFrom, RTCPeerConnection.getTransceivers]
-
A.
canBePurchasedWith
Indicates that one entity is able to be bought or acquired using another entity as the form of payment.
-
B.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
C.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
D.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
-
E.
canBeUsedOver
Indicates that one entity is suitable or valid for use in place of, or in relation to, another entity.
- F. None of above. chosen
Provenance (4 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccc62a88190882d8801908015a4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc8ae87c81908ca5d94f63ad0e80 |
completed | March 1, 2026, 10:24 p.m. |
Created at: March 1, 2026, 7:45 p.m.