Triple
T28434291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Submarine Voyage (Disneyland attraction) |
E715218
|
entity |
| Predicate | vehicleNamesTheme |
P165157
|
FINISHED |
| Object | U.S. Navy-style fleet |
—
|
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: U.S. Navy-style fleet | Statement: [Submarine Voyage (Disneyland attraction), vehicleNamesTheme, U.S. Navy-style fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleNamesTheme Context triple: [Submarine Voyage (Disneyland attraction), vehicleNamesTheme, U.S. Navy-style fleet]
-
A.
vehicleTheme
Indicates that an entity serves as the vehicle or means through which another entity, event, or action is carried out or expressed.
-
B.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
C.
testVehicleName
Indicates that an entity is used to test or validate the name assigned to a vehicle.
-
D.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
E.
carModel
Indicates the specific model designation of a car within a particular make or brand.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 1:41 a.m.