Triple
T14928824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timiryazevskaya |
E372203
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | Troika card accepted |
E249223
|
NE 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: Troika card accepted | Statement: [Timiryazevskaya, fareSystem, Troika card accepted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troika card accepted Context triple: [Timiryazevskaya, fareSystem, Troika card accepted]
-
A.
Presto card
The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
-
B.
Troika card
chosen
The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
-
C.
Metcard
Metcard was Melbourne’s former magnetic stripe ticketing system used for public transport before the introduction of the Myki smartcard.
-
D.
TAP card
The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
-
E.
Pronto card
The Pronto card is a reloadable smart fare card used for paying public transit fares across the San Diego Metropolitan Transit System and related services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded634e67881909daec9eaef188d09 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c4f9c481909642efccb29f71d4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:36 a.m.