Triple
T26296209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Sylvia park area |
E661424
|
entity |
| Predicate | isPartOfCulturalProperty |
P136708
|
FINISHED |
| Object | Pavlovsk Palace and Park |
—
|
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: Pavlovsk Palace and Park | Statement: [New Sylvia park area, isPartOfCulturalProperty, Pavlovsk Palace and Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCulturalProperty Context triple: [New Sylvia park area, isPartOfCulturalProperty, Pavlovsk Palace and Park]
-
A.
culturalProperty
Indicates that something is recognized or treated as a cultural property, typically denoting legal or heritage status tied to cultural significance.
-
B.
hasImportantCulturalProperty
Indicates that an entity is recognized or designated as having significant cultural value or heritage importance.
-
C.
isPartOfCulturalPropertyGroup
chosen
Indicates that something belongs to or is included within a defined group or collection of related cultural properties.
-
D.
hasCulturalProperty
Indicates that something possesses or is associated with a cultural attribute, value, or characteristic.
-
E.
hasMainCulturalProperty
Indicates that an entity possesses a primary or most significant cultural property associated with it.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 26, 2026, 10:12 p.m.