Triple
T31776316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLC (single-level cell) |
E811072
|
entity |
| Predicate | isMarketPositionedAs |
P96269
|
FINISHED |
| Object | premium flash memory |
—
|
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: premium flash memory | Statement: [SLC (single-level cell), isMarketPositionedAs, premium flash memory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarketPositionedAs Context triple: [SLC (single-level cell), isMarketPositionedAs, premium flash memory]
-
A.
hasTargetMarketPositioning
chosen
Indicates the specific market segment and competitive position that an offering is intended to occupy relative to alternatives.
-
B.
marketPosition
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
C.
isPositionedAs
Indicates that one entity is placed or arranged in a specific spatial or conceptual position relative to another.
-
D.
hasMarketFocus
Indicates that an entity concentrates its business activities, products, or services on a particular market or customer segment.
-
E.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:35 p.m.