Triple
T4859769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosa-class battleship |
E108627
|
entity |
| Predicate | secondaryBatteryType |
P59438
|
FINISHED |
| Object | medium-caliber guns |
—
|
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: medium-caliber guns | Statement: [Tosa-class battleship, secondaryBatteryType, medium-caliber guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryBatteryType Context triple: [Tosa-class battleship, secondaryBatteryType, medium-caliber guns]
-
A.
secondaryBattery
Indicates that an entity has a secondary battery system or backup power source in addition to its primary battery.
-
B.
batteryType
Indicates the specific kind or category of battery associated with or used by an entity.
-
C.
hasBackupBattery
Indicates that an entity is equipped with an additional battery intended to provide power when the primary power source is unavailable or fails.
-
D.
batteryCapacity
Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
-
E.
batterySupplier
Indicates that one entity serves as the supplier or provider of batteries to another entity.
- F. None of above. chosen
Provenance (4 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5c92148190a314707bdd3ff30f |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6cfa8bd881908e376ab286759cc2 |
completed | March 20, 2026, 3:51 p.m. |
Created at: March 20, 2026, 1:26 p.m.