Triple
T13255293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelkheim |
E315641
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | MTK |
E792544
|
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: MTK | Statement: [Kelkheim, vehicleRegistrationCode, MTK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTK Context triple: [Kelkheim, vehicleRegistrationCode, MTK]
-
A.
MTK
chosen
MTK is the vehicle registration code for the Main-Taunus-Kreis district in the German state of Hesse.
-
B.
MediaTek
MediaTek is a Taiwanese semiconductor company best known for designing affordable, high-integration system-on-chip solutions for smartphones and other consumer electronics.
-
C.
MediaTek Pump Express
MediaTek Pump Express is a fast-charging technology developed by MediaTek for rapidly recharging compatible mobile devices while managing heat and power efficiency.
-
D.
MTKView
MTKView is a specialized view class in Apple’s MetalKit framework that simplifies displaying and managing Metal-rendered graphics content in macOS and iOS apps.
-
E.
MediaTek SoCs
MediaTek SoCs are system-on-chip solutions widely used in smartphones, tablets, smart TVs, and IoT devices, known for integrating ARM-based processors to deliver cost-effective performance and connectivity.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4240d881909f0ee898fd272826 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:24 p.m.