Triple
T7803256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwangandaegyo |
E180482
|
entity |
| Predicate | upperDeckFunction |
P32506
|
FINISHED |
| Object | expressway |
—
|
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: expressway | Statement: [Gwangandaegyo, upperDeckFunction, expressway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperDeckFunction Context triple: [Gwangandaegyo, upperDeckFunction, expressway]
-
A.
upperDeckUsedFor
chosen
Indicates that the upper deck of an object or structure is utilized for a specified purpose or activity.
-
B.
upperDeckDirection
Indicates the direction or orientation associated with the upper deck relative to a reference point or structure.
-
C.
numberOfBoosters
Indicates the quantity of booster units associated with or used by an entity.
-
D.
hasExpansionSetNumber
Indicates that an entity is associated with a specific numbered position or identifier within an expansion set.
-
E.
upperDeckLanes
Indicates that the related entities are lanes located on the upper deck level of a multi-level structure (such as a roadway, bridge, or parking facility).
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:34 p.m.