Triple
T11181074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Ignition Facility |
E264537
|
entity |
| Predicate | laserEnergyPerShot |
P97718
|
FINISHED |
| Object | on the order of 1.8 megajoules |
—
|
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 1.8 megajoules | Statement: [National Ignition Facility, laserEnergyPerShot, on the order of 1.8 megajoules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laserEnergyPerShot Context triple: [National Ignition Facility, laserEnergyPerShot, on the order of 1.8 megajoules]
-
A.
usesLaserType
Indicates that one entity employs or operates a specific type or category of laser in performing an action or function.
-
B.
numberOfShotsFired
Indicates the total count of shots that were discharged in the described event or action.
-
C.
rateOfFire
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
D.
laserColor
Indicates the color attribute associated with a laser in the relationship or action.
-
E.
muzzleVelocity
Indicates the speed at which a projectile leaves the muzzle of a firearm or similar weapon at the moment it is fired.
- 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_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_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.