Triple
T2977977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes-Benz CLA |
E80442
|
entity |
| Predicate | marketPositionWithinBrand |
P30257
|
FINISHED |
| Object | below Mercedes-Benz C-Class |
—
|
LITERAL 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: below Mercedes-Benz C-Class | Statement: [Mercedes-Benz CLA, marketPositionWithinBrand, below Mercedes-Benz C-Class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketPositionWithinBrand Context triple: [Mercedes-Benz CLA, marketPositionWithinBrand, below Mercedes-Benz C-Class]
-
A.
marketPosition
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
B.
brandPositioning
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
-
C.
isPartOfBrandStrategy
Indicates that an action, element, or decision is included within and contributes to the overall brand strategy.
-
D.
positionInProductLine
chosen
Indicates the specific place or order an item occupies within a defined product line or series.
-
E.
positionInPortfolio
Indicates the specific role, allocation, or placement that an asset or holding occupies within a particular investment portfolio.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999b0d50819093dac7678b887a9b |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.