Triple
T33470374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Těšín Theatre |
E857170
|
entity |
| Predicate | hasPolishStage |
P15778
|
FINISHED |
| Object | Polská scéna |
—
|
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: Polská scéna | Statement: [Těšín Theatre, hasPolishStage, Polská scéna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolishStage Context triple: [Těšín Theatre, hasPolishStage, Polská scéna]
-
A.
hasCzechStage
Indicates that an entity has a stage, version, or representation specifically in the Czech language or within a Czech context.
-
B.
isPolish
Indicates that an entity has the property of being Polish, typically in terms of nationality, origin, or cultural affiliation.
-
C.
hasNameInPolish
chosen
Indicates that an entity is associated with a specific name or label expressed in the Polish language.
-
D.
PolishObjective
Indicates that an entity is the target or goal of a polishing action or process.
-
E.
hasWonStageIn
Indicates that an entity has achieved victory in at least one stage of a specified multi-stage event or competition.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:37 a.m.