Triple
T37404134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acer Nitro series |
E929075
|
entity |
| Predicate | positionRelativeToRelatedBrand |
P175494
|
FINISHED |
| Object | below Predator series in price |
—
|
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 Predator series in price | Statement: [Acer Nitro series, positionRelativeToRelatedBrand, below Predator series in price]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToRelatedBrand Context triple: [Acer Nitro series, positionRelativeToRelatedBrand, below Predator series in price]
-
A.
brandPosition
chosen
Indicates the relative market or perceptual placement of a brand compared to competitors or within a defined category.
-
B.
positionInBrandPortfolio
Indicates the relative role or rank that a brand holds within a company’s overall brand portfolio.
-
C.
relatedBrand
Indicates a relationship where one brand is associated with, connected to, or otherwise related to another brand.
-
D.
referencesBrand
Indicates that one entity mentions, cites, or otherwise refers to a specific brand in its content or context.
-
E.
brandPositioning
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: May 3, 2026, 4:16 p.m.