Triple
T33621526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W56 warhead |
E861281
|
entity |
| Predicate | deployedWarheadCountPeak |
P176967
|
FINISHED |
| Object | over 1000 units |
—
|
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: over 1000 units | Statement: [W56 warhead, deployedWarheadCountPeak, over 1000 units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deployedWarheadCountPeak Context triple: [W56 warhead, deployedWarheadCountPeak, over 1000 units]
-
A.
numberOfDeployedMissilesPeak
Indicates the maximum number of missiles that were deployed at any point in time.
-
B.
maximumWarheadsPerMissile
Indicates the greatest number of warheads that a single missile is allowed or able to carry.
-
C.
numberOfMissilesLaunched
Indicates the total count of missiles that have been launched in a given context or event.
-
D.
deploymentPeakNumber
Indicates the maximum number of deployments (or deployment instances) reached during a specified period or under given conditions.
-
E.
nuclearArsenalStatus
Indicates the condition or level of development, deployment, or readiness of an entity’s nuclear weapons capability.
- 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_69f34980fabc81909819228729a9ca84 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f81b8dc48190abf63b5f5cb8538a |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:41 a.m.