Triple
T10176395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuvshinovsky District |
E235862
|
entity |
| Predicate | hasLocalityType |
P87153
|
FINISHED |
| Object | rural localities |
—
|
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 localities | Statement: [Kuvshinovsky District, hasLocalityType, rural localities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalityType Context triple: [Kuvshinovsky District, hasLocalityType, rural localities]
-
A.
hasTypeLocality
Indicates the specific geographic location where an entity (typically a species or specimen) was originally found and formally described.
-
B.
containsLocality
Indicates that one place or area geographically includes or encompasses another locality within its boundaries.
-
C.
isInhabitedLocalityType
chosen
Indicates that an entity is classified as a specific type of inhabited locality (such as a city, town, or village).
-
D.
hasNeighbouringLocality
Indicates that one locality is geographically adjacent to or directly borders another locality.
-
E.
hasMainLocationType
Indicates that an entity is associated with a primary or predominant type of location that characterizes where it is mainly situated or operates.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd3a2688190bce277bffffcbf8b |
completed | April 2, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:11 p.m.