Triple
T25847009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pravets Municipality |
E651096
|
entity |
| Predicate | hasEducationalInstitutionInSeat |
P3445
|
FINISHED |
| Object | schools in Pravets |
—
|
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: schools in Pravets | Statement: [Pravets Municipality, hasEducationalInstitutionInSeat, schools in Pravets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalInstitutionInSeat Context triple: [Pravets Municipality, hasEducationalInstitutionInSeat, schools in Pravets]
-
A.
numberOfUniversitySeats
Indicates the total count of available seats or positions offered by a university in a given context.
-
B.
seatOfUniversity
Indicates that a location serves as the official seat or main campus of a university.
-
C.
seatOfProtectedInstitution
Indicates that a location serves as the official seat or headquarters of an institution that is legally protected or specially safeguarded.
-
D.
containsEducationalInstitution
chosen
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
-
E.
servesAsAlmaMaterOf
Indicates that an educational institution is the alma mater of a person or entity, meaning they previously studied or graduated there.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 22, 2026, 7:53 a.m.