Triple
T2023339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trident nuclear missile system |
E44152
|
entity |
| Predicate | numberOfOperationalSubmarines |
P1848
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Trident nuclear missile system, numberOfOperationalSubmarines, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOperationalSubmarines Context triple: [Trident nuclear missile system, numberOfOperationalSubmarines, 4]
-
A.
numberOfWarPatrols
Indicates the count of distinct war patrol missions associated with an entity.
-
B.
antiSubmarineArmament
Indicates the type or presence of weapons or equipment specifically designed for anti-submarine warfare associated with an entity.
-
C.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
D.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
-
E.
fleetSize
chosen
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8f1728481909ae36e821b9edef2 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a389408190a84a54856352f15b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.