Triple
T3037335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volvo Cars |
E83041
|
entity |
| Predicate | notableModelSeries |
P1503
|
FINISHED |
| Object | Volvo XC90 |
E316544
|
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: Volvo XC90 | Statement: [Volvo Cars, notableModelSeries, Volvo XC90]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volvo XC90 Context triple: [Volvo Cars, notableModelSeries, Volvo XC90]
-
A.
Volvo XC90
chosen
The Volvo XC90 is a mid-size luxury SUV known for its Scandinavian design, advanced safety features, and family-friendly practicality.
-
B.
Saab 9-4X
The Saab 9-4X is a mid-size luxury crossover SUV produced briefly in the early 2010s, known for combining Saab’s distinctive Scandinavian design with GM-sourced underpinnings.
-
C.
Saab 9-7X
The Saab 9-7X is a mid-size luxury SUV produced in the mid-2000s that combined Saab styling cues with General Motors’ GMT360 platform.
-
D.
Saab 9-5
The Saab 9-5 is a mid-size executive car produced by Swedish automaker Saab, known for its turbocharged engines, safety innovations, and distinctive Scandinavian design.
-
E.
Porsche Cayenne
The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2cd4988190b52fe3616ecbe9ef |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dec8778c8190a5e06a29a0218404 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3:01 p.m.