Triple
T9616832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soarin' ride system |
E232239
|
entity |
| Predicate | providesExperienceOf |
P89272
|
FINISHED |
| Object | flight over scenic landscapes |
—
|
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: flight over scenic landscapes | Statement: [Soarin' ride system, providesExperienceOf, flight over scenic landscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesExperienceOf Context triple: [Soarin' ride system, providesExperienceOf, flight over scenic landscapes]
-
A.
providesExposureTo
Indicates that one entity gives another entity the opportunity to be seen, noticed, or become known by a particular audience, environment, or set of influences.
-
B.
gaveFirsthandExperienceOf
Indicates that one entity directly provided another entity with personal, firsthand experience of something, rather than secondhand or indirect knowledge.
-
C.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
D.
settingOfExperience
Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
-
E.
experienceFeature
Indicates that an entity undergoes, encounters, or makes use of a particular feature.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aad71a0819084ea00c2409e9922 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:09 p.m.