Triple
T24743357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Николай Ипатьев |
E618625
|
entity |
| Predicate | место деятельности |
P65106
|
FINISHED |
| Object | Екатеринбург |
—
|
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: Екатеринбург | Statement: [Николай Ипатьев, место деятельности, Екатеринбург]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: место деятельности Context triple: [Николай Ипатьев, место деятельности, Екатеринбург]
-
A.
регионДеятельности
chosen
Indicates the geographic region or area in which an entity carries out its activities or operations.
-
B.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
C.
locationOfWork
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
D.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
-
E.
placeInWork
Indicates that one entity is located or occurs within the spatial or structural context of another entity in a work.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:19 a.m.