Triple
T11181073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Ignition Facility |
E264537
|
entity |
| Predicate | peakLaserPower |
P84509
|
FINISHED |
| Object | on the order of 500 terawatts |
—
|
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 500 terawatts | Statement: [National Ignition Facility, peakLaserPower, on the order of 500 terawatts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakLaserPower Context triple: [National Ignition Facility, peakLaserPower, on the order of 500 terawatts]
-
A.
powerOutputW
Indicates the amount of power produced or delivered by an entity, measured in watts.
-
B.
maximumPowerAtPSE
Indicates the highest level of power that can be delivered or drawn at the Power Sourcing Equipment (PSE) in the relationship.
-
C.
laterPowerOutput
Indicates that the power output of an entity at a later time is being related or compared to its power output at an earlier time.
-
D.
powerDensity
Indicates the amount of power distributed per unit area or volume in a given context.
-
E.
powerOutputApprox
chosen
Indicates an approximate or estimated value for the power output produced by an entity or system.
- 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_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.