Triple
T7264427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Mexico-class battleship |
E159734
|
entity |
| Predicate | gunLayout |
P27374
|
FINISHED |
| Object | centerline 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: centerline turrets | Statement: [New Mexico-class battleship, gunLayout, centerline turrets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunLayout Context triple: [New Mexico-class battleship, gunLayout, centerline 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.
typeOfGunMount
Indicates the specific kind or configuration of gun mounting used to support or attach a gun.
-
D.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
-
E.
weaponMount
Indicates that one entity serves as a mounting point or support structure for attaching or holding a weapon on 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.