Triple
T7599168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolution (Blackpool Pleasure Beach) |
E179936
|
entity |
| Predicate | hasRiderPosition |
P26167
|
FINISHED |
| Object | seated |
—
|
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: seated | Statement: [Revolution (Blackpool Pleasure Beach), hasRiderPosition, seated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiderPosition Context triple: [Revolution (Blackpool Pleasure Beach), hasRiderPosition, seated]
-
A.
supportsRiderPosition
chosen
Indicates that one entity provides a stable or appropriate base or configuration that maintains or accommodates the rider’s body position.
-
B.
hasPositionOn
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
-
C.
hasPositionsFor
Indicates that one entity offers or contains available roles, jobs, or positions for another entity.
-
D.
hasSingleRiderLine
Indicates that a ride or attraction offers a dedicated line for solo riders, separate from the regular queue.
-
E.
numberOfRiders
Indicates the total count of riders associated with a given entity or event.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d7cb288190b40ff5c9a09297d9 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.