Triple
T2978012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz EQS |
E80443
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Porsche Taycan |
E210524
|
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: Porsche Taycan | Statement: [Mercedes-Benz EQS, competitor, Porsche Taycan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porsche Taycan Context triple: [Mercedes-Benz EQS, competitor, Porsche Taycan]
-
A.
Porsche Taycan
chosen
The Porsche Taycan is a high-performance all-electric luxury sports sedan known for its rapid acceleration, advanced technology, and Porsche’s signature driving dynamics.
-
B.
Audi e-tron GT
The Audi e-tron GT is a high-performance, all-electric luxury grand tourer that showcases Audi’s advanced EV technology and sporty design.
-
C.
Porsche Panamera
The Porsche Panamera is a luxury four-door grand tourer that combines sports-car performance with the comfort and practicality of a premium sedan.
-
D.
Mercedes-Benz EQC
The Mercedes-Benz EQC is a fully electric luxury compact SUV that marked Mercedes-Benz’s entry into the modern battery-electric vehicle market.
-
E.
Porsche Macan
The Porsche Macan is a compact luxury crossover SUV known for combining sports-car performance with everyday practicality.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999b0d50819093dac7678b887a9b |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ecef788190ad40dba81f1036c6 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.