Triple
T19799162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rostokino District |
E475623
|
entity |
| Predicate | hasGoodTransportLinks |
P137371
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rostokino District, hasGoodTransportLinks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoodTransportLinks Context triple: [Rostokino District, hasGoodTransportLinks, yes]
-
A.
hasGoodPublicTransportConnections
Indicates that an entity is well served by public transportation options, providing convenient and efficient connections to other locations.
-
B.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
C.
hasPublicTransitRoute
Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
-
D.
hasPublicTransitInfrastructure
Indicates that a location or area is equipped with facilities and systems that support public transportation services (e.g., buses, trains, trams).
-
E.
hasPublicTransitFunction
Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
- F. None of above. chosen
Provenance (4 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c930a08190a2263db7170edd71 |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.