Triple
T35561851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impero |
E1027654
|
entity |
| Predicate | designedMainTurretArmor |
P176227
|
FINISHED |
| Object | up to 380 mm |
—
|
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: up to 380 mm | Statement: [Impero, designedMainTurretArmor, up to 380 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedMainTurretArmor Context triple: [Impero, designedMainTurretArmor, up to 380 mm]
-
A.
mainBatteryTurretArmor
chosen
Indicates the thickness or protective characteristics of the armor on a vessel’s primary gun turrets.
-
B.
turretArmorType
Indicates the type or classification of armor used on a turret in the relationship.
-
C.
turretFrontArmor_mm
Indicates the thickness, measured in millimeters, of the armor on the front face of a turret.
-
D.
turretRoofArmorThickness
Indicates the thickness of the armor on the roof section of a turret.
-
E.
turretRearArmorThickness
Indicates the thickness of the armor located at the rear section of a turret.
- 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_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.