Triple
T17713310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWAKE Run 1 experiments |
E441623
|
entity |
| Predicate | demonstratedGradient |
P63610
|
FINISHED |
| Object | on the order of GV/m |
—
|
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: on the order of GV/m | Statement: [AWAKE Run 1 experiments, demonstratedGradient, on the order of GV/m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demonstratedGradient Context triple: [AWAKE Run 1 experiments, demonstratedGradient, on the order of GV/m]
-
A.
demonstratedBy
Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular entity.
-
B.
demonstratedOn
Indicates that an action, behavior, or property is shown, illustrated, or proven using a particular entity as the example or subject.
-
C.
hasGradient
chosen
Indicates that one entity possesses or is characterized by a gradual change in value, intensity, or property across its extent or between two points.
-
D.
demonstratedAt
Indicates that an action, behavior, or capability was shown or exhibited at a particular event, location, or point in time.
-
E.
demonstratedAgainst
Indicates that one party publicly protested or showed opposition toward another party or issue.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729cebd08190872be96a26d0f7ce |
completed | April 19, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.