Triple
T28053072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adventure Isle |
E708879
|
entity |
| Predicate | hasNoMajorRideVehicles |
P198516
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Adventure Isle, hasNoMajorRideVehicles, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoMajorRideVehicles Context triple: [Adventure Isle, hasNoMajorRideVehicles, true]
-
A.
isNonMotorized
Indicates that the entity does not use a motor for propulsion or operation.
-
B.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
-
C.
hasMotorbikes
Indicates that an entity possesses, owns, or is associated with one or more motorbikes.
-
D.
hasNotableVehicleAssociated
Indicates that an entity is associated with a specific vehicle that is considered notable or significant in some recognized context.
-
E.
doesNotUseRollingStock
Indicates that the subject operates or functions without employing any rolling stock (such as rail vehicles or wheeled transport equipment).
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
| PDg | Predicate description generation | batch_69fef1112b0c8190a8eb027edb71e4e0 |
completed | May 9, 2026, 8:32 a.m. |
Created at: April 27, 2026, 8:34 p.m.