Triple
T35751641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infiniti Q30 |
E1033334
|
entity |
| Predicate | sharesEngineeringWith |
P121661
|
FINISHED |
| Object | Mercedes-Benz A-Class (W176) |
—
|
NE NERFINISHED |
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: Mercedes-Benz A-Class (W176) | Statement: [Infiniti Q30, sharesEngineeringWith, Mercedes-Benz A-Class (W176)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesEngineeringWith Context triple: [Infiniti Q30, sharesEngineeringWith, Mercedes-Benz A-Class (W176)]
-
A.
sharesTechnologyWith
Indicates that one entity provides, exchanges, or jointly uses technology with another entity.
-
B.
sharesEnginesWith
Indicates that two entities use the same engine model or engine configuration.
-
C.
sharesInnovationWith
Indicates that one entity shares or exchanges innovative ideas, methods, or technologies with another entity.
-
D.
sharesArchitectureWith
chosen
Indicates that two entities have the same or highly similar architectural design, structure, or underlying system.
-
E.
sharesWorkWith
Indicates that one entity collaborates or participates jointly in work or tasks with another entity.
- F. None of above.
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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a006fe981488190b4287289a3327664 |
completed | May 10, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_6a006f6976ec8190ba2c04fbaa946345 |
completed | May 10, 2026, 11:43 a.m. |
Created at: May 3, 2026, 4:06 p.m.