Triple
T1124210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiyukan |
E24681
|
entity |
| Predicate | mainTankCapacity |
P25222
|
FINISHED |
| Object | about 5400000 liters |
—
|
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 5400000 liters | Statement: [Kaiyukan, mainTankCapacity, about 5400000 liters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTankCapacity Context triple: [Kaiyukan, mainTankCapacity, about 5400000 liters]
-
A.
mainTankFeature
Indicates that a feature is the primary or defining characteristic of a tank in the given context.
-
B.
mainTankName
Indicates that the subject entity has the specified name as its primary or main tank designation.
-
C.
hasCentralTank
Indicates that an entity possesses or is equipped with a primary central tank as a key component or feature.
-
D.
numberOfTanks
Indicates the quantity or count of tanks associated with a given entity or context.
-
E.
fuelCapacityLiters
Indicates the amount of fuel a vehicle or container can hold, measured in liters.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.