Triple
T17294025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreadnought programme |
E419857
|
entity |
| Predicate | deterrentType |
P126855
|
FINISHED |
| Object | sea-based nuclear deterrent |
—
|
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: sea-based nuclear deterrent | Statement: [Dreadnought programme, deterrentType, sea-based nuclear deterrent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deterrentType Context triple: [Dreadnought programme, deterrentType, sea-based nuclear deterrent]
-
A.
threatTypeDeterrence
Indicates a relationship where a threat is characterized specifically as serving a deterrent function, aimed at discouraging or preventing certain actions or behaviors.
-
B.
deterrentPosture
Indicates a stance or set of actions intended to discourage or prevent another party from taking hostile or undesired actions.
-
C.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
D.
hasArrestingGear
Indicates that an entity is equipped with a system or mechanism used to rapidly decelerate and stop another entity, typically during landing or capture.
-
E.
restraintType
Indicates the specific kind or method of restraint applied in a given situation or relationship.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437869ec08190b4a63fb1ee6a71ee |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.