Triple
T10128567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gniezno |
E226276
|
entity |
| Predicate | hasUniversityBranch |
P92139
|
FINISHED |
| Object | branches of Polish higher education institutions |
—
|
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: branches of Polish higher education institutions | Statement: [Gniezno, hasUniversityBranch, branches of Polish higher education institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniversityBranch Context triple: [Gniezno, hasUniversityBranch, branches of Polish higher education institutions]
-
A.
hasUniversities
Indicates that an entity possesses, contains, or is associated with one or more universities.
-
B.
hasCentralUniversityStatus
Indicates that an institution holds the official designation or recognition as a central or nationally governed university.
-
C.
hasBranchCampusCountry
Indicates that an educational institution maintains at least one branch campus located in the specified country.
-
D.
hasTechnicalUniversity
Indicates that a place or organization possesses or hosts a technical university as part of its institutions or infrastructure.
-
E.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2f0a0e881909267a83fbeb31f0c |
completed | April 2, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:05 p.m.