Triple
T23928795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Лазарь Маркович Лисицкий |
E602432
|
entity |
| Predicate | учился в |
P108841
|
FINISHED |
| Object | Дармштадтское техническое училище |
—
|
NE NERFINISHED |
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: Дармштадтское техническое училище | Statement: [Лазарь Маркович Лисицкий, учился в, Дармштадтское техническое училище]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: учился в Context triple: [Лазарь Маркович Лисицкий, учился в, Дармштадтское техническое училище]
-
A.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
B.
studiedUnder
Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
-
C.
isStudiedIn
Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
-
D.
hasEducationIn
Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
-
E.
studiesIn
chosen
Indicates that a person is enrolled as a student at, and pursues their studies within, a particular educational institution or program.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9a18248190b20991969921ecfd |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:54 p.m.