Triple
T15684002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savindan |
E380148
|
entity |
| Predicate | typeOfPatronDay |
P119746
|
FINISHED |
| Object | school patron day in Serbia |
—
|
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: school patron day in Serbia | Statement: [Savindan, typeOfPatronDay, school patron day in Serbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPatronDay Context triple: [Savindan, typeOfPatronDay, school patron day in Serbia]
-
A.
patronType
Indicates the classification or category of a patron in relation to a service, institution, or resource.
-
B.
typeOfPatronage
Indicates the specific kind or category of support, sponsorship, or backing that one entity provides to another.
-
C.
isDayUseOnly
Indicates that the entity may only be used or accessed during daytime hours and not overnight.
-
D.
hasPatronCharacter
Indicates that one entity serves as a patron, protector, or guiding figure for another entity.
-
E.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:43 a.m.