Triple
T31986723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romashkovo |
E816745
|
entity |
| Predicate | isRuralLocalityOf |
P54976
|
FINISHED |
| Object | Odintsovsky District |
—
|
NE NERFINISHED |
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: Odintsovsky District | Statement: [Romashkovo, isRuralLocalityOf, Odintsovsky District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRuralLocalityOf Context triple: [Romashkovo, isRuralLocalityOf, Odintsovsky District]
-
A.
hasRuralLocality
chosen
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.
isRuralDistrictOf
Indicates that one administrative area is a rural district that belongs to or is governed as part of another, typically larger, administrative unit.
-
C.
isInRuralAreaOf
Indicates that one entity is located within the rural area or countryside region associated with another entity.
-
D.
isRuralMunicipalityOf
Indicates that one entity is a rural municipality that is administratively or geographically part of, or governed by, another entity.
-
E.
isUrbanLocality
Indicates that a place is classified as an urban settlement or locality, as opposed to a rural area.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b3b1cea8819087c59b8e8016fe6d |
completed | May 3, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:12 a.m.