Triple
T3317120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanguard-class ballistic missile submarine |
E69707
|
entity |
| Predicate | missileTubes |
P34088
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Vanguard-class ballistic missile submarine, missileTubes, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missileTubes Context triple: [Vanguard-class ballistic missile submarine, missileTubes, 16]
-
A.
armamentTorpedoes
Indicates that an entity is equipped with torpedoes as part of its armament or weaponry.
-
B.
hasTurrets
Indicates that an entity is equipped with or possesses one or more turrets.
-
C.
internalWeaponsBays
chosen
Indicates that an entity is equipped with weapons storage or launch systems housed within its internal structure rather than mounted externally.
-
D.
numberOfMainBatteryGuns
Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
-
E.
numberOfTorpedoesHit
Indicates the number of torpedoes that successfully struck a specified target.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb11230b881908f5b554323729cc5 |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.