Triple
T10275659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Warsaw |
E240958
|
entity |
| Predicate | hasMottoInPolish |
P23882
|
FINISHED |
| Object | Żyć, nauczać, uczyć się |
—
|
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: Żyć, nauczać, uczyć się | Statement: [University of Warsaw, hasMottoInPolish, Żyć, nauczać, uczyć się]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMottoInPolish Context triple: [University of Warsaw, hasMottoInPolish, Żyć, nauczać, uczyć się]
-
A.
usesMotto
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
-
B.
hasPartInMotto
Indicates that something is included as a component or element within a motto.
-
C.
hasMottoLikeFunction
Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
-
D.
hasMottoInText
chosen
Indicates that an entity has a motto expressed in a specific textual form or wording.
-
E.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d28b6cd4819084a7a5c1893b5ad8 |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:37 a.m.