Triple
T33470376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Těšín Theatre |
E857170
|
entity |
| Predicate | hasChildrenStage |
P196556
|
FINISHED |
| Object | Scéna Bajka |
—
|
NE NERFINISHED |
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: Scéna Bajka | Statement: [Těšín Theatre, hasChildrenStage, Scéna Bajka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildrenStage Context triple: [Těšín Theatre, hasChildrenStage, Scéna Bajka]
-
A.
hasDescendantStage
Indicates that one stage in a process, lifecycle, or development sequence leads to or gives rise to another, later stage that is considered its descendant.
-
B.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
-
C.
hasStepchildren
Indicates that one person has stepchildren, meaning children of their spouse or partner from a previous relationship.
-
D.
hasChildrenArea
Indicates that an entity includes or is associated with a designated area intended for children.
-
E.
has child
Indicates that one entity is the parent of another entity, which is its child.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: May 1, 2026, 1:37 a.m.