Triple
T11095641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enchanted Airways (Singapore version planning phase) |
E262369
|
entity |
| Predicate | supersededByRideType |
P97203
|
FINISHED |
| Object | indoor roller coaster |
—
|
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: indoor roller coaster | Statement: [Enchanted Airways (Singapore version planning phase), supersededByRideType, indoor roller coaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supersededByRideType Context triple: [Enchanted Airways (Singapore version planning phase), supersededByRideType, indoor roller coaster]
-
A.
containsRideType
Indicates that one entity includes or offers a specific type or category of ride as part of its available options.
-
B.
fareTypes
Indicates the categories or kinds of fares (e.g., ticket or pricing options) that apply to a given travel or service offering.
-
C.
replacedTicketType
Indicates that one ticket type has been superseded or substituted by another ticket type.
-
D.
fareType
Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
-
E.
hasSubRide
Indicates that a ride or journey is composed of, or includes, one or more smaller component rides or segments.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0897188190b6c293b44990b3d4 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.