Triple
T13526863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIO |
E323034
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | NIO ES6 |
E323034
|
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: NIO ES6 | Statement: [NIO, hasModel, NIO ES6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NIO ES6 Context triple: [NIO, hasModel, NIO ES6]
-
A.
NIO
chosen
NIO is a Chinese electric vehicle manufacturer known for its premium smart EVs and innovative battery-swapping technology.
-
B.
N6
N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
-
C.
NVE
NVE is Norway’s national authority responsible for managing the country’s water and energy resources, including hydropower regulation, flood preparedness, and energy system oversight.
-
D.
NOE
NOE is the regional vehicle registration code used on car license plates issued in the town of Olecko in northeastern Poland.
-
E.
NOE
NOE (Nucleo Operativo Ecologico) is a specialized unit of the Italian Carabinieri focused on investigating and combating environmental crimes and protecting ecological resources.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.