Triple
T5988248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTE-Advanced Pro |
E133280
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | enhanced Machine Type Communication (eMTC / LTE-M) |
E123448
|
NE 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: enhanced Machine Type Communication (eMTC / LTE-M) | Statement: [LTE-Advanced Pro, supports, enhanced Machine Type Communication (eMTC / LTE-M)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: enhanced Machine Type Communication (eMTC / LTE-M) Context triple: [LTE-Advanced Pro, supports, enhanced Machine Type Communication (eMTC / LTE-M)]
-
A.
LTE-M
chosen
LTE-M is a low-power wide-area cellular technology based on LTE, designed specifically for connecting Internet of Things (IoT) devices with extended coverage and reduced power consumption.
-
B.
NB-IoT
NB-IoT (Narrowband Internet of Things) is a low-power wide-area network radio technology standard designed to efficiently connect large numbers of simple, low-throughput IoT devices over licensed cellular spectrum.
-
C.
LPWAN
LPWAN (Low-Power Wide-Area Network) is a class of wireless communication technologies designed to connect low-cost, battery-powered devices over long ranges with very low data rates, commonly used in large-scale Internet of Things (IoT) deployments.
-
D.
Long Term Evolution for Machines
Long Term Evolution for Machines is a low-power wide-area cellular technology based on LTE, designed to provide efficient, secure, and cost-effective connectivity for Internet of Things (IoT) devices.
-
E.
oneM2M
oneM2M is a global standards initiative that develops a common service layer framework to enable interoperable machine-to-machine (M2M) and Internet of Things (IoT) systems across different industries and regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc51d948190bacf4c40a73e91b2 |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10854969c8190b9be249f26ad2f47 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:04 p.m.