Triple
T31755618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinocchio's Daring Journey |
E810548
|
entity |
| Predicate | hasRideVehicleShape |
P87177
|
FINISHED |
| Object | wooden cart |
—
|
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: wooden cart | Statement: [Pinocchio's Daring Journey, hasRideVehicleShape, wooden cart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRideVehicleShape Context triple: [Pinocchio's Daring Journey, hasRideVehicleShape, wooden cart]
-
A.
hasRidingAssociation
Indicates an association where one entity is related to another through the act or context of riding (e.g., serving as rider, mount, or riding partner).
-
B.
hasTransportationElement
chosen
Indicates that one entity includes, involves, or is associated with a specific transportation-related component or feature.
-
C.
hasRoadSignShape
Indicates that one entity possesses or exhibits the geometric shape characteristic of a particular road sign.
-
D.
hasRideEnvironment
Indicates that an entity is associated with, or takes place within, a particular ride-related environment or setting.
-
E.
hasRideSystem
Indicates that one entity (typically an attraction or ride) uses or is associated with a particular ride system or ride mechanism.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 30, 2026, 11:29 p.m.