Triple
T16323007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dismaland |
E396343
|
entity |
| Predicate | afterlife |
P122702
|
FINISHED |
| Object | materials reused to build shelters in Calais Jungle refugee camp |
—
|
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: materials reused to build shelters in Calais Jungle refugee camp | Statement: [Dismaland, afterlife, materials reused to build shelters in Calais Jungle refugee camp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterlife Context triple: [Dismaland, afterlife, materials reused to build shelters in Calais Jungle refugee camp]
-
A.
afterlifeFate
Indicates the outcome or condition an entity experiences in the afterlife as a result of its life or actions.
-
B.
associatedAfterlife
Indicates a relationship where an entity is linked to, or characterized by, a particular concept, realm, or state of existence after death.
-
C.
afterDeath
Indicates that one event, state, or condition occurs subsequent to and as a result of an entity’s death.
-
D.
afterlifeForm
Indicates the form, state, or manifestation an entity takes in an afterlife or post-mortem existence.
-
E.
afterlifeName
Indicates the name or designation assigned to an entity in an afterlife or post-mortem context.
- 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_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. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.