Triple
T2336412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiryū-class aircraft carrier |
E44319
|
entity |
| Predicate | navalTonnageClass |
P24307
|
FINISHED |
| Object | treaty-era carrier |
—
|
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: treaty-era carrier | Statement: [Hiryū-class aircraft carrier, navalTonnageClass, treaty-era carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalTonnageClass Context triple: [Hiryū-class aircraft carrier, navalTonnageClass, treaty-era carrier]
-
A.
tonnageClass
chosen
Indicates a classification relationship where an entity is assigned to a category based on its tonnage (weight or carrying capacity range).
-
B.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
C.
navalStandardType
Indicates the specific naval standard or classification system under which an entity (such as a vessel, equipment, or procedure) is defined or regulated.
-
D.
standardDisplacement
Indicates the typical or officially specified amount of displacement (such as volume, weight, or capacity) associated with an entity under standard conditions.
-
E.
USNDesignation
Indicates the formal designation assigned by the United States Navy to identify and classify a ship, aircraft, or other naval asset.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:51 p.m.