Triple
T31776326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLC (multi-level cell) |
E811073
|
entity |
| Predicate | hasHigherDensityThan |
P195402
|
FINISHED |
| Object | SLC (single-level cell) |
—
|
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: SLC (single-level cell) | Statement: [MLC (multi-level cell), hasHigherDensityThan, SLC (single-level cell)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHigherDensityThan Context triple: [MLC (multi-level cell), hasHigherDensityThan, SLC (single-level cell)]
-
A.
hasLowerDensityThan
chosen
Indicates that one entity has a lower density (mass per unit volume) compared to another entity.
-
B.
hasHighDensityOf
Indicates that one entity contains or exhibits a large concentration or amount of another entity within a given area, volume, or context.
-
C.
hasHigherResolutionThan
Indicates that one entity has a greater level of detail or clarity in its representation or measurement than another entity.
-
D.
hasHigherQualityThan
Indicates that one entity possesses a superior level of quality compared to another entity.
-
E.
hasDensityContrast
Indicates that one entity differs from another in material density, highlighting a contrast in how compact or dense they are.
- 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_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 30, 2026, 11:35 p.m.