Triple
T8502291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSMA |
E201247
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | TDMA |
E134574
|
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: TDMA | Statement: [CSMA, contrastedWith, TDMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TDMA Context triple: [CSMA, contrastedWith, TDMA]
-
A.
FDMA
FDMA is Japan’s national agency responsible for coordinating fire services, emergency medical response, and disaster management across the country.
-
B.
Time Division Duplex
Time Division Duplex is a wireless communication method that uses a single frequency band for both uplink and downlink by separating them in time rather than frequency.
-
C.
Time Division Multiple Access
chosen
Time Division Multiple Access (TDMA) is a channel access method that divides a communication medium into time slots so multiple users can share the same frequency without interference.
-
D.
D-AMPS
D-AMPS (Digital Advanced Mobile Phone System) is a second-generation (2G) digital mobile telephony standard that evolved from the analog AMPS system to provide improved capacity and voice quality.
-
E.
TETRA
TETRA is a professional mobile radio and wireless communications standard widely used by public safety, emergency services, and critical infrastructure organizations for secure, reliable digital voice and data.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59c413881909513d8a9d52333c0 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e1da7388190855ccd2e4292fd26 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.