Triple
T29082609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quad Blasters |
E734018
|
entity |
| Predicate | numberOfBarrelsPerGun |
P56664
|
FINISHED |
| Object | multiple barrels |
—
|
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: multiple barrels | Statement: [Quad Blasters, numberOfBarrelsPerGun, multiple barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBarrelsPerGun Context triple: [Quad Blasters, numberOfBarrelsPerGun, multiple barrels]
-
A.
numberOfBarrels
chosen
Indicates the quantity or count of barrels associated with a given entity or context.
-
B.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
-
C.
numberOfMainBatteryGuns
Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
-
D.
barrelCountComparedToGAU-12/U
Indicates how the number of barrels of an entity compares to that of the GAU-12/U weapon system.
-
E.
barrelLengthInCalibers
Indicates the length of a barrel expressed as a multiple of its bore diameter (in calibers), describing how many times the bore diameter fits into the barrel length.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
Created at: April 28, 2026, 10:56 a.m.