Triple
T11181104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terascale Simulation Facility |
E264538
|
entity |
| Predicate | hasComputingScale |
P3868
|
FINISHED |
| Object | terascale performance |
—
|
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: terascale performance | Statement: [Terascale Simulation Facility, hasComputingScale, terascale performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComputingScale Context triple: [Terascale Simulation Facility, hasComputingScale, terascale performance]
-
A.
hasScale
chosen
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
B.
hasScales
Indicates that an entity possesses scales as a surface covering or body feature.
-
C.
hasScaleParameter
Indicates that an entity is associated with a scale parameter that controls the magnitude or dispersion of a related quantity or distribution.
-
D.
hasScaleHeight
Indicates the characteristic vertical distance over which a quantity (such as pressure, density, or concentration) decreases by a fixed factor in a stratified medium.
-
E.
hasScaleFactorForm
Indicates that one entity is represented as a scaled version or proportional form of another, typically via a specific scale factor.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a7f35481909f35feb94ef10e80 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.