Triple
T1342090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Yarmouth Pleasure Beach |
E28486
|
entity |
| Predicate | typicalOpeningPattern |
P27375
|
FINISHED |
| Object | seasonal operation |
—
|
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: seasonal operation | Statement: [Great Yarmouth Pleasure Beach, typicalOpeningPattern, seasonal operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOpeningPattern Context triple: [Great Yarmouth Pleasure Beach, typicalOpeningPattern, seasonal operation]
-
A.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
B.
openingMatch
Indicates that one entity serves as the initial or first match, game, or contest in a series, event, or competition involving another entity.
-
C.
openingThemeComposer
Indicates that the subject is the person who composed the musical opening theme for the specified work or production.
-
D.
typicalFormation
Indicates the usual or characteristic way in which something is formed, structured, or comes into existence.
-
E.
typicalPractice
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c215fc008190b01fd8150b9f3b2a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:56 p.m.