Triple
T21224392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Term Evolution for Machines |
E523052
|
entity |
| Predicate | supportsHalfDuplexOperation |
P18335
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Long Term Evolution for Machines, supportsHalfDuplexOperation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsHalfDuplexOperation Context triple: [Long Term Evolution for Machines, supportsHalfDuplexOperation, true]
-
A.
usesCSMA_CDInHalfDuplex
Indicates that the communication operates in half-duplex mode using the CSMA/CD (Carrier Sense Multiple Access with Collision Detection) protocol for medium access control.
-
B.
laterSupportedDuplexMode
Indicates that one entity provided support for duplex mode at a later time than another entity.
-
C.
duplexMode
chosen
Indicates whether a communication link or device operates in half-duplex or full-duplex mode, defining if data can flow in one or both directions simultaneously.
-
D.
usesDuplexMethod
Indicates that one entity employs a duplex method, meaning a two-way or bidirectional technique or process, in relation to another entity or context.
-
E.
supportsHAMMode
Indicates that an entity is capable of operating in and providing functionality for HAM (amateur radio) mode.
- F. None of above.
Provenance (3 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_69e734a9c9f88190817b574f916886e5 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:44 p.m.