Triple
T556225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Leipzig |
E11945
|
entity |
| Predicate | hasInternationalPartnershipsWith |
P14377
|
FINISHED |
| Object | universities worldwide |
—
|
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: universities worldwide | Statement: [University of Leipzig, hasInternationalPartnershipsWith, universities worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalPartnershipsWith Context triple: [University of Leipzig, hasInternationalPartnershipsWith, universities worldwide]
-
A.
internationalPartners
chosen
Indicates that two or more entities are engaged in a formal or recognized partnership that crosses national boundaries.
-
B.
countryPartner
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
C.
hasMunicipalPartnershipWith
Indicates a formal cooperative or collaborative relationship established between two municipalities, typically involving shared projects, services, or governance initiatives.
-
D.
hasInternationalOrganizationRole
Indicates that an entity holds or has held a specific role, position, or function within an international organization.
-
E.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991ef9b0819092ec0407270373f4 |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.