Triple
T9719528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevsky Prospekt–Gostiny Dvor metro hub |
E235427
|
entity |
| Predicate | servesPassengerFlows |
P27830
|
FINISHED |
| Object | local commuters |
—
|
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: local commuters | Statement: [Nevsky Prospekt–Gostiny Dvor metro hub, servesPassengerFlows, local commuters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPassengerFlows Context triple: [Nevsky Prospekt–Gostiny Dvor metro hub, servesPassengerFlows, local commuters]
-
A.
servesPassengerTrafficType
chosen
Indicates that a transportation facility or service accommodates a specified type or category of passenger traffic.
-
B.
operatedPassengerServices
Indicates that an entity provided and managed transportation services specifically for carrying passengers.
-
C.
hasPassengerTrafficFrom
Indicates that an entity receives or handles passenger traffic originating from another entity.
-
D.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
E.
handlesMostPassengerTrafficOf
Indicates that one entity is responsible for managing the largest share of passenger traffic associated with another entity, compared to all similar entities.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.