Triple
T30028003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mainstage (Tomorrowland) |
E762932
|
entity |
| Predicate | pyrotechnicElement |
P45831
|
FINISHED |
| Object | fire effects |
—
|
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: fire effects | Statement: [Mainstage (Tomorrowland), pyrotechnicElement, fire effects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pyrotechnicElement Context triple: [Mainstage (Tomorrowland), pyrotechnicElement, fire effects]
-
A.
hasPyrotechnics
chosen
Indicates that an entity includes, uses, or features pyrotechnic effects or fireworks as part of its characteristics or activities.
-
B.
fireworksCompany
Indicates a relationship where an entity is a company that produces, sells, or organizes fireworks displays for another entity or context.
-
C.
explosiveComponents
Indicates that one entity consists of, contains, or is associated with components that are explosive or used to create an explosive device.
-
D.
explosiveMaterialUsed
Indicates that an explosive material was employed or involved in carrying out a particular action or event.
-
E.
explosionDesignation
Indicates that an entity is assigned a specific designation or label associated with an explosion event or explosive classification.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f679ad19f88190a01d97605aecb0d8 |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:49 p.m.