Triple
T8326725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen e-Golf |
E194971
|
entity |
| Predicate | primaryCompetitor |
P6615
|
FINISHED |
| Object | Renault Zoe |
E446414
|
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: Renault Zoe | Statement: [Volkswagen e-Golf, primaryCompetitor, Renault Zoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renault Zoe Context triple: [Volkswagen e-Golf, primaryCompetitor, Renault Zoe]
-
A.
Renault Zoe
chosen
The Renault Zoe is a compact all-electric hatchback known for popularizing affordable urban electric mobility in Europe.
-
B.
Nissan Leaf
The Nissan Leaf is a mass-market all-electric compact hatchback known for pioneering affordable zero-emission driving.
-
C.
Peugeot e-Boxer
The Peugeot e-Boxer is the fully electric version of Peugeot’s large Boxer van, designed for zero-emission commercial transport with a battery-powered drivetrain.
-
D.
BMW i3
The BMW i3 is a compact, all-electric city car known for its distinctive design, lightweight carbon-fiber construction, and focus on sustainable urban mobility.
-
E.
Mitsubishi i-MiEV
The Mitsubishi i-MiEV is a compact all-electric city car from Mitsubishi Motors, recognized as one of the early mass-produced electric vehicles.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f80ed288190b300e18b9bc58824 |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95b92708819097795498f9ebcdfc |
completed | April 1, 2026, 10:01 p.m. |
Created at: March 30, 2026, 5:56 p.m.