Triple
T3574603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phalanx CIWS (modernization era) |
E75655
|
entity |
| Predicate | threatEnvironment |
P19863
|
FINISHED |
| Object | anti-ship missile threat |
—
|
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: anti-ship missile threat | Statement: [Phalanx CIWS (modernization era), threatEnvironment, anti-ship missile threat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatEnvironment Context triple: [Phalanx CIWS (modernization era), threatEnvironment, anti-ship missile threat]
-
A.
threatCategory
Indicates the classification of a threat according to its type, severity, or nature within a defined risk or security framework.
-
B.
threatTypeAddressed
chosen
Indicates that a given action, measure, or entity is specifically intended to counter or mitigate a particular type of threat.
-
C.
threatStatus
Indicates the level or category of risk or danger posed by one entity to another or to a defined system or environment.
-
D.
threatTypeEngaged
Indicates that an entity has actively engaged with or responded to a specific type of threat.
-
E.
threat
Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0d928f08190830347b3b032178a |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.