Triple
T21245864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Александр Миротворец |
E523605
|
entity |
| Predicate | типНосителяИменования |
P83908
|
FINISHED |
| Object | исторический правитель |
—
|
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: исторический правитель | Statement: [Александр Миротворец, типНосителяИменования, исторический правитель]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типНосителяИменования Context triple: [Александр Миротворец, типНосителяИменования, исторический правитель]
-
A.
nameBearerType
chosen
Indicates the specific role or capacity in which an entity bears or carries a given name (e.g., as a person, place, organization, or other type of name bearer).
-
B.
informationCarrierType
Indicates the medium or format through which information is physically or digitally carried or delivered.
-
C.
ipoType
Indicates the type or category of an entity’s initial public offering (IPO) event.
-
D.
typeOfMediumship
Indicates a relationship where one entity specifies the particular form or method of mediumship practiced or involved in relation to another entity.
-
E.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:49 p.m.