Triple
T31474525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taraclia District |
E802954
|
entity |
| Predicate | Taraclia State UniversitySpecialization |
P104142
|
FINISHED |
| Object | Bulgarian language and culture |
—
|
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: Bulgarian language and culture | Statement: [Taraclia District, Taraclia State UniversitySpecialization, Bulgarian language and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Taraclia State UniversitySpecialization Context triple: [Taraclia District, Taraclia State UniversitySpecialization, Bulgarian language and culture]
-
A.
hasTechnicalUniversity
Indicates that a place or organization possesses or hosts a technical university as part of its institutions or infrastructure.
-
B.
institutionSpecialization
chosen
Indicates that an institution focuses on, is dedicated to, or has expertise in a particular field, domain, or area of activity.
-
C.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
D.
universityCharacteristic
Indicates that a specified characteristic, quality, or attribute is associated with a particular university.
-
E.
laterSpecializedIn
Indicates that an entity initially engaged in a broader or different field and subsequently focused its work or expertise in a more specific or specialized area.
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:28 p.m.