Triple
T17713301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWAKE Run 1 experiments |
E441623
|
entity |
| Predicate | plasmaDensity |
P87492
|
FINISHED |
| Object | order of 10^14–10^15 electrons per cubic centimeter |
—
|
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: order of 10^14–10^15 electrons per cubic centimeter | Statement: [AWAKE Run 1 experiments, plasmaDensity, order of 10^14–10^15 electrons per cubic centimeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plasmaDensity Context triple: [AWAKE Run 1 experiments, plasmaDensity, order of 10^14–10^15 electrons per cubic centimeter]
-
A.
givesDensityOf
chosen
Indicates that one entity provides or specifies the density value of another entity.
-
B.
powerDensity
Indicates the amount of power distributed per unit area or volume in a given context.
-
C.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
D.
averageHydrogenNumberDensity
Indicates the mean number of hydrogen atoms per unit volume within a specified region or system.
-
E.
hasApproximateHydrogenNumberDensity
Indicates that an entity is associated with a hydrogen number density value that is approximate rather than exact.
- 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.