Triple
T7875354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaroslavsky District |
E182836
|
entity |
| Predicate | hasTypeOfSettlementStructure |
P1068
|
FINISHED |
| Object | rural settlements |
—
|
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: rural settlements | Statement: [Yaroslavsky District, hasTypeOfSettlementStructure, rural settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfSettlementStructure Context triple: [Yaroslavsky District, hasTypeOfSettlementStructure, rural settlements]
-
A.
typeOfSettlement
Indicates the specific category or classification of a settlement (e.g., city, town, village) that characterizes what kind of settlement it is.
-
B.
settlementType
chosen
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
C.
isSettlementOf
Indicates that one entity is a settlement (such as a town, village, or city) that belongs to, is located within, or is administratively part of another entity.
-
D.
governsSettlementType
Indicates that an authority or administrative body exercises governing control over a particular type or category of settlement.
-
E.
hasPortSettlement
Indicates that a place has a settlement located at or directly associated with a port for maritime or water-based transport.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a961188190b2f12f8fe5d66641 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:57 p.m.