Triple
T2973830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Breslau |
E80345
|
entity |
| Predicate | hadReputation |
P38276
|
FINISHED |
| Object | leading research university in Central Europe |
—
|
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: leading research university in Central Europe | Statement: [University of Breslau, hadReputation, leading research university in Central Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadReputation Context triple: [University of Breslau, hadReputation, leading research university in Central Europe]
-
A.
hasNotableReputation
chosen
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
-
B.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
C.
reputationBuiltFor
Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
-
D.
handlingReputation
Indicates that one entity manages, influences, or is responsible for maintaining the reputation or public perception of another entity.
-
E.
defensiveReputation
Indicates that an entity is regarded or recognized as being strong, reliable, or skilled in defense.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.