Triple
T38132571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wicker Man |
E952261
|
entity |
| Predicate | hasOnrideExperience |
P98191
|
FINISHED |
| Object | multiple direction changes |
—
|
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: multiple direction changes | Statement: [Wicker Man, hasOnrideExperience, multiple direction changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnrideExperience Context triple: [Wicker Man, hasOnrideExperience, multiple direction changes]
-
A.
hasRideExperience
chosen
Indicates that one entity has undergone, participated in, or possesses experience with a particular ride or riding activity in relation to another entity.
-
B.
hasNumberOfRides
Indicates the quantity of rides associated with a given entity.
-
C.
hasCheckInExperience
Indicates that an entity has undergone, participated in, or possesses a record of a check-in process or event.
-
D.
hasTrailExperience
Indicates that an entity has prior experience or familiarity with using or navigating trails.
-
E.
hasNotableRide
Indicates that an entity is associated with a particularly remarkable or well-known ride or attraction.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:21 p.m.