Triple
T2722538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna Park Sydney |
E60113
|
entity |
| Predicate | hasRide |
P30385
|
FINISHED |
| Object | Ferris wheel |
—
|
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: Ferris wheel | Statement: [Luna Park Sydney, hasRide, Ferris wheel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRide Context triple: [Luna Park Sydney, hasRide, Ferris wheel]
-
A.
hasSubRide
chosen
Indicates that a ride or journey is composed of, or includes, one or more smaller component rides or segments.
-
B.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
C.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
-
D.
rides
Indicates that one entity travels on or is carried by another entity as a passenger or operator.
-
E.
hasTransportationEvent
Indicates that an entity is involved in or associated with a specific transportation-related occurrence, such as a trip, transfer, or movement event.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab2f36c8190aa0b452e57525fe0 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.