Triple
T35795405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes PU106B Hybrid |
E1034816
|
entity |
| Predicate | powerUnitFamily |
P191392
|
FINISHED |
| Object | Mercedes PU106 series |
—
|
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 PU106 series | Statement: [Mercedes PU106B Hybrid, powerUnitFamily, Mercedes PU106 series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerUnitFamily Context triple: [Mercedes PU106B Hybrid, powerUnitFamily, Mercedes PU106 series]
-
A.
powerUnitType
Indicates the type or category of power unit associated with or used by an entity.
-
B.
suppliesPowerUnitsTo
Indicates that one entity provides electrical power units as a resource or input to another entity.
-
C.
primeMoverFamily
Indicates that one entity is the primary driving or originating force behind another within a familial or foundational relationship.
-
D.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
E.
modeOfPower
Indicates the type or method of power or energy by which an entity operates or is driven.
- F. None of above. chosen
Provenance (4 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:06 p.m.