Triple
T21729967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tidal Wave |
E536377
|
entity |
| Predicate | influencedParkDevelopment |
P145124
|
FINISHED |
| Object | helped establish Thorpe Park as a thrill-focused park |
—
|
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: helped establish Thorpe Park as a thrill-focused park | Statement: [Tidal Wave, influencedParkDevelopment, helped establish Thorpe Park as a thrill-focused park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedParkDevelopment Context triple: [Tidal Wave, influencedParkDevelopment, helped establish Thorpe Park as a thrill-focused park]
-
A.
urbanPlanningInfluencedBy
Indicates that the principles, decisions, or outcomes of urban planning are shaped or guided by another factor, entity, or process.
-
B.
hasTourismImpactOn
Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of another entity.
-
C.
influencesSettlement
Indicates that one entity affects or shapes the establishment, development, or characteristics of a settlement.
-
D.
都市景観への影響
Indicates the effect or impact that something has on the appearance, structure, or overall quality of the urban landscape.
-
E.
hasTourismDevelopment
Indicates that tourism-related infrastructure, services, or activities have been developed or promoted in relation to the referenced entity.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd064fcc819084852b4248f65a81 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:48 p.m.