Triple
T20822884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyūga-class helicopter destroyer |
E512621
|
entity |
| Predicate | numberOfShipsInClass |
P43019
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Hyūga-class helicopter destroyer, numberOfShipsInClass, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShipsInClass Context triple: [Hyūga-class helicopter destroyer, numberOfShipsInClass, 2]
-
A.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
-
B.
shipNumberInClass
Indicates the specific ordinal position or sequence number that a ship holds within its class.
-
C.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
D.
classShipCount
chosen
Indicates the number of ships associated with a particular class or category.
-
E.
numberOfPlannedShips
Indicates the total count of ships that are intended or scheduled to be built, deployed, or used according to a plan.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fb49148190bdad1b51e7dac43a |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.