Triple
T29022385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozhayskoye Shosse |
E737486
|
entity |
| Predicate | isPartOfDirection |
P6309
|
FINISHED |
| Object | Mozhaysk direction from Moscow |
—
|
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: Mozhaysk direction from Moscow | Statement: [Mozhayskoye Shosse, isPartOfDirection, Mozhaysk direction from Moscow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfDirection Context triple: [Mozhayskoye Shosse, isPartOfDirection, Mozhaysk direction from Moscow]
-
A.
isDirection
Indicates that one entity specifies or represents the orientation or course along which another entity moves, points, or is aligned.
-
B.
isPartOfRoute
chosen
Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
-
C.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
D.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
E.
isDirectionalDistrictName
Indicates that a district’s name includes or is based on a geographic direction (e.g., north, south, east, west) relative to some reference 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 28, 2026, 9:50 a.m.