Triple
T9387569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trident |
E225941
|
entity |
| Predicate | deterrenceType |
P1135
|
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: [Trident, deterrenceType, sea-based nuclear deterrent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deterrenceType Context triple: [Trident, deterrenceType, sea-based nuclear deterrent]
-
A.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
B.
typeOfDefense
chosen
Indicates the specific kind or category of defense employed or possessed in a given context.
-
C.
restraintType
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
D.
aimOfPunishment
Indicates that a specified purpose or objective is the intended goal or rationale behind a particular act of punishment.
-
E.
typeOfSanction
Indicates the specific category or kind of sanction that is applied in a given situation.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d562a48190875d9fe3aae25a2b |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:45 p.m.