Triple
T16323003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dismaland |
E396343
|
entity |
| Predicate | totalVisitors |
P427
|
FINISHED |
| Object | over 150000 |
—
|
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: over 150000 | Statement: [Dismaland, totalVisitors, over 150000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalVisitors Context triple: [Dismaland, totalVisitors, over 150000]
-
A.
visitorCount
chosen
Indicates the number of visitors associated with a particular entity, context, or time period.
-
B.
hasVisitorsFrom
Indicates that an entity receives or has received visitors originating from another specified entity or location.
-
C.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
D.
visitorScore
Indicates the number of points or goals scored by the visiting/away participant in a game or contest.
-
E.
primaryVisitors
Indicates that certain entities are the main or most important visitors associated with another entity or context.
- 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.