Triple
T9594014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylver A50 VLS |
E231485
|
entity |
| Predicate | cellConfiguration |
P89114
|
FINISHED |
| Object | 8-cell modules |
—
|
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: 8-cell modules | Statement: [Sylver A50 VLS, cellConfiguration, 8-cell modules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellConfiguration Context triple: [Sylver A50 VLS, cellConfiguration, 8-cell modules]
-
A.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
B.
cellStates
Indicates the various conditions or phases that a cell can be in at a given time.
-
C.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
D.
cellSize
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
E.
seatingConfiguration
Indicates how seats are arranged or organized relative to each other in a given context.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a134b0c81908a568e5d2ecfbb92 |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:07 p.m.