Triple
T35568721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Orleans-class cruiser |
E1027850
|
entity |
| Predicate | gunConfiguration |
P27374
|
FINISHED |
| Object | three triple 8-inch gun turrets |
—
|
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: three triple 8-inch gun turrets | Statement: [New Orleans-class cruiser, gunConfiguration, three triple 8-inch gun turrets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunConfiguration Context triple: [New Orleans-class cruiser, gunConfiguration, three triple 8-inch gun turrets]
-
A.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
B.
gunTurretConfiguration
chosen
Indicates the specific arrangement, placement, and setup of gun turrets in a system or structure.
-
C.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
D.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
-
E.
weaponControl
Indicates that one entity has authority over, access to, or the ability to direct the use of a weapon associated with another 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.