Triple
T16323002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dismaland |
E396343
|
entity |
| Predicate | visitorCapacityPerDay |
P427
|
FINISHED |
| Object | approximately 4000 |
—
|
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: approximately 4000 | Statement: [Dismaland, visitorCapacityPerDay, approximately 4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorCapacityPerDay Context triple: [Dismaland, visitorCapacityPerDay, approximately 4000]
-
A.
rideLimit
Indicates a constraint on the maximum number, duration, or frequency of rides permitted for an entity.
-
B.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
C.
seatingCapacityDaySessions
Indicates the maximum number of people that can be seated during daytime sessions.
-
D.
standingCapacity
Indicates the maximum number of people that are allowed or able to stand in a given space or vehicle.
-
E.
visitorCount
chosen
Indicates the number of visitors associated with a particular entity, context, or time period.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b82fe88190a448597b7827f859 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.