Triple
T22181671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K9 Thunder |
E548182
|
entity |
| Predicate | multipleRoundSimultaneousImpact |
P58413
|
FINISHED |
| Object | capable |
—
|
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: capable | Statement: [K9 Thunder, multipleRoundSimultaneousImpact, capable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multipleRoundSimultaneousImpact Context triple: [K9 Thunder, multipleRoundSimultaneousImpact, capable]
-
A.
designedToFireSimultaneously
chosen
Indicates that multiple entities are configured or intended to operate or be activated at the same time.
-
B.
collisionAttackComplexity
Indicates the level of effort or resources required to successfully perform a collision attack against the target (e.g., a cryptographic function or system).
-
C.
collision
Indicates that two or more entities come into contact with each other at the same place and time, typically involving an impact or crash.
-
D.
actualImpactSite
Indicates the location where an impact actually occurred, as opposed to a predicted, intended, or nominal impact site.
-
E.
hasMultipleCraters
Indicates that an entity possesses or is characterized by more than one crater.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa5998081909ff35f8b5df4f92f |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.