Triple
T31201775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Theatre (Budapest) |
E795493
|
entity |
| Predicate | hasOutdoorSculptures |
P29093
|
FINISHED |
| Object | statues of prominent Hungarian actors and playwrights |
—
|
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: statues of prominent Hungarian actors and playwrights | Statement: [National Theatre (Budapest), hasOutdoorSculptures, statues of prominent Hungarian actors and playwrights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorSculptures Context triple: [National Theatre (Budapest), hasOutdoorSculptures, statues of prominent Hungarian actors and playwrights]
-
A.
isOutdoorSculpture
Indicates that the entity is a sculpture specifically designed, created, or installed for display in an outdoor environment.
-
B.
hasOutdoorExhibits
chosen
Indicates that a place or institution includes exhibits or displays located in outdoor or open-air areas.
-
C.
hasSculptureGardenArea
Indicates that something includes or is associated with an area designated as a sculpture garden.
-
D.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
-
E.
sculptureParkName
Indicates that a sculpture park has the specified name.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 9:09 p.m.