Triple
T24780913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Theatre of Tuzla |
E619992
|
entity |
| Predicate | hasTypeOfPerformances |
P63774
|
FINISHED |
| Object | drama |
—
|
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: drama | Statement: [National Theatre of Tuzla, hasTypeOfPerformances, drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfPerformances Context triple: [National Theatre of Tuzla, hasTypeOfPerformances, drama]
-
A.
typeOfPerformances
chosen
Indicates the kinds or categories of performances associated with or offered by an entity.
-
B.
presentsPerformancesBy
Indicates that one entity organizes or stages performances that feature or are carried out by another entity.
-
C.
performances
Indicates that an entity stages, presents, or executes artistic or entertainment events for an audience.
-
D.
totalPerformances
Indicates the total number of times a particular performance, show, or act has been carried out.
-
E.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 4:44 a.m.