Triple
T17353794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie station |
E421878
|
entity |
| Predicate | adjacentStationOnLine4 |
P41935
|
FINISHED |
| Object | Bessarion station |
—
|
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: Bessarion station | Statement: [Leslie station, adjacentStationOnLine4, Bessarion station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bessarion station Context triple: [Leslie station, adjacentStationOnLine4, 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.
Sretensky Bulvar station
Sretensky Bulvar station is a Moscow Metro station on the Lyublinsko–Dmitrovskaya line, known for its deep-level construction and transfer connections in the city center.
-
C.
Troparyovo station
Troparyovo station is a Moscow Metro station serving the southwestern part of the city on one of its main radial lines.
-
D.
I. P. Pavlova station
I. P. Pavlova station is a major Prague Metro stop and busy transport hub located near the city center on Line C.
-
E.
Vasileostrovskaya station
Vasileostrovskaya station is an underground metro station in Saint Petersburg, Russia, serving the Vasileostrovsky District on the city’s Green Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2e660c81908700aed5c42e9043 |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.