Triple
T31072202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kropotkinskaya |
E791851
|
entity |
| Predicate | providesRapidTransitAccessTo |
P69365
|
FINISHED |
| Object | historic Arbat 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: historic Arbat District | Statement: [Kropotkinskaya, providesRapidTransitAccessTo, historic Arbat District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesRapidTransitAccessTo Context triple: [Kropotkinskaya, providesRapidTransitAccessTo, historic Arbat District]
-
A.
accessibleByPublicTransport
Indicates that a location or entity can be reached using public transportation services such as buses, trains, or trams.
-
B.
hasTransitAccessTo
chosen
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
C.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
-
D.
railAccessModel
Indicates the type or pattern of how rail infrastructure or services are accessed or connected between locations or entities.
-
E.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 29, 2026, 9:01 p.m.