Triple
T24652113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wichita-class cruiser |
E610277
|
entity |
| Predicate | mainBatteryGunsPerTurret |
P43721
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Wichita-class cruiser, mainBatteryGunsPerTurret, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainBatteryGunsPerTurret Context triple: [Wichita-class cruiser, mainBatteryGunsPerTurret, 3]
-
A.
numberOfMainBatteryGuns
chosen
Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
-
B.
hasTurrets
Indicates that an entity is equipped with or possesses one or more turrets.
-
C.
turretCount
Indicates the number of turrets associated with or mounted on a given entity.
-
D.
numberOfMissileTubes
Indicates the quantity of missile tubes that an entity possesses or is equipped with.
-
E.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.