Triple
T15010913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bestuzhev Courses |
E377831
|
entity |
| Predicate | offeredDiscipline |
P2902
|
FINISHED |
| Object | history |
—
|
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: history | Statement: [Bestuzhev Courses, offeredDiscipline, history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredDiscipline Context triple: [Bestuzhev Courses, offeredDiscipline, history]
-
A.
offersDiscipline
chosen
Indicates that one entity provides or makes available a particular field of study, training, or area of specialization to another entity.
-
B.
programOffered
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
-
C.
offeredClass
Indicates that a particular class or course is being made available or provided, typically by an institution or organization.
-
D.
isOfferedThrough
Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
-
E.
offersDegree
Indicates that an institution or program provides a specific academic degree as an available qualification.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded734943481908dad4ceed4fe850c |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.