Triple
T37299001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese aircraft carrier Chitose |
E925885
|
entity |
| Predicate | displacementAsSeaplaneTender |
P10289
|
FINISHED |
| Object | about 9,000 tons standard |
—
|
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: about 9,000 tons standard | Statement: [Japanese aircraft carrier Chitose, displacementAsSeaplaneTender, about 9,000 tons standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displacementAsSeaplaneTender Context triple: [Japanese aircraft carrier Chitose, displacementAsSeaplaneTender, about 9,000 tons standard]
-
A.
displacementAsCarrier
Indicates that one entity’s displacement (change in position) serves as the carrier or medium through which another entity is moved or transported.
-
B.
standardDisplacement
chosen
Indicates the typical or officially specified amount of displacement (such as volume, weight, or capacity) associated with an entity under standard conditions.
-
C.
amphibiousCapacity
Indicates the ability of an entity to operate effectively in both water and on land.
-
D.
hasAmphibiousCapability
Indicates that an entity possesses the ability to operate effectively in both water and land environments.
-
E.
assistedShip
Indicates that one entity helped or supported a ship in performing an operation, task, or journey.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.