Triple
T16015104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scenic World |
E388444
|
entity |
| Predicate | skywayType |
P9536
|
FINISHED |
| Object | aerial cable car |
—
|
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: aerial cable car | Statement: [Scenic World, skywayType, aerial cable car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skywayType Context triple: [Scenic World, skywayType, aerial cable car]
-
A.
skylineType
Indicates the general visual or structural character of a skyline, such as its dominant form, density, or profile.
-
B.
hasSkyway
Indicates that there is an elevated, usually enclosed walkway or bridge connecting two or more structures or areas.
-
C.
guidewayType
chosen
Indicates the specific kind or classification of guideway used in a transportation or movement system.
-
D.
skybridgeFloors
Indicates a relationship where a skybridge physically connects two or more specific floors of buildings or structures.
-
E.
superstructureType
Indicates the specific kind or design category of a structure’s superstructure that an entity possesses or is associated with.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.