Triple
T34213592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-60M |
E877723
|
entity |
| Predicate | counterCountermeasures |
P203188
|
FINISHED |
| Object | improved IRCCM |
—
|
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: improved IRCCM | Statement: [R-60M, counterCountermeasures, improved IRCCM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterCountermeasures Context triple: [R-60M, counterCountermeasures, improved IRCCM]
-
A.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
-
B.
counterMeasureAgainst
Indicates a relationship where one entity serves as a response or defensive action intended to prevent, mitigate, or neutralize the effects of another entity.
-
C.
countermeasureCategory
Indicates the classification type or category to which a given countermeasure belongs.
-
D.
counterplay
Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
-
E.
controlMeasure
Indicates a relationship where one entity implements or applies a method, action, or mechanism to regulate, mitigate, or manage a risk, process, or condition associated with another entity.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0136e4af808190b529d324bbf0c5d9 |
completed | May 11, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_6a01369141c4819091cb8064913a44ca |
completed | May 11, 2026, 1:53 a.m. |
| PDg | Predicate description generation | batch_6a0136e3d6ec8190898b5ab5a628a99d |
completed | May 11, 2026, 1:54 a.m. |
Created at: May 1, 2026, 1:55 a.m.