Triple
T15863206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Котлин |
E384641
|
entity |
| Predicate | имеетНаселённыйПункт |
P120811
|
FINISHED |
| Object | город Кронштадт |
—
|
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: город Кронштадт | Statement: [Котлин, имеетНаселённыйПункт, город Кронштадт]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетНаселённыйПункт Context triple: [Котлин, имеетНаселённыйПункт, город Кронштадт]
-
A.
hasRuralLocality
Indicates that an entity possesses, includes, or is associated with a rural locality (such as a village, hamlet, or countryside settlement) within its scope or jurisdiction.
-
B.
устьеНаходитсяВ
Indicates that the mouth of a river or stream is located within or at a specified body of water or geographic area.
-
C.
hasVillageAtExit
Indicates that a village is located at or directly adjacent to an exit (such as a road, highway, or route exit).
-
D.
isRuralDistrictOf
Indicates that one administrative area is a rural district that belongs to or is governed as part of another, typically larger, administrative unit.
-
E.
isRuralSettlement
Indicates that a settlement is located in a rural area, typically characterized by low population density and limited urban infrastructure.
- F. None of above. chosen
Provenance (4 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.