Triple
T6256608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheppard subway |
E140181
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Bessarion station |
E425096
|
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: Bessarion station | Statement: [Sheppard subway, hasStation, Bessarion station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bessarion station Context triple: [Sheppard subway, hasStation, Bessarion station]
-
A.
Bessarion station
chosen
Bessarion station is a Toronto subway station on Line 4 Sheppard, serving the North York area with access to nearby residential and commercial developments.
-
B.
Troparyovo station
Troparyovo station is a Moscow Metro station serving the southwestern part of the city on one of its main radial lines.
-
C.
Kropotkinskaya station
Kropotkinskaya station is a Moscow Metro station notable for its distinctive neoclassical architecture and proximity to major cultural landmarks such as the Cathedral of Christ the Saviour.
-
D.
Krasnoselskaya station
Krasnoselskaya station is a Moscow Metro station known for its early Soviet-era architecture and location on the system’s first metro line.
-
E.
Panfilovskaya MCC station
Panfilovskaya MCC station is a passenger railway station on Moscow’s urban rail network, serving the Moscow Central Circle line as part of the city’s integrated public transit system.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063653910819095f1dc3b90ce77db |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c244379f308190b73fe7ed4ed678e9 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.