Triple
T8234927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion-class battleship |
E192380
|
entity |
| Predicate | gunCalibreIncreaseOver |
P80997
|
FINISHED |
| Object | 12-inch to 13.5-inch main 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: 12-inch to 13.5-inch main guns | Statement: [Orion-class battleship, gunCalibreIncreaseOver, 12-inch to 13.5-inch main guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gunCalibreIncreaseOver Context triple: [Orion-class battleship, gunCalibreIncreaseOver, 12-inch to 13.5-inch main guns]
-
A.
gunCalibre
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
B.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
C.
successorCaliber
Indicates that one entity serves as the successor or follow-up version in terms of quality, standard, or specification relative to another.
-
D.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
-
E.
gun
Indicates that one entity uses, carries, or is associated with a gun in relation to another entity or context.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782931848190bcc54622f34e06a7 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb3d6c34708190a987d68529cbb0b3 |
completed | March 31, 2026, 3:20 a.m. |
Created at: March 30, 2026, 5:46 p.m.