Triple
T2183071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkville |
E49088
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Museum station |
E20378
|
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: Museum station | Statement: [Yorkville, servedBy, Museum station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Museum station Context triple: [Yorkville, servedBy, Museum station]
-
A.
Museum subway station
chosen
Museum subway station is a Toronto Transit Commission subway station on Line 1 located near the Royal Ontario Museum and the University of Toronto’s St. George campus.
-
B.
Science Park station
Science Park station is a light rail stop on Boston’s MBTA Green Line located near the Museum of Science, serving the West End and surrounding areas.
-
C.
Expo Center station
Expo Center station is a light rail station in Portland, Oregon, serving as the northern terminus of TriMet’s MAX Yellow Line near the Portland Expo Center.
-
D.
Cosmosquare Station
Cosmosquare Station is a terminal subway station on Osaka Metro’s Chūō Line serving the waterfront/cosbay area of Osaka, Japan.
-
E.
Salaryevo station
Salaryevo station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0d551881909d7f907378e1b2b7 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da786e48190896cae8fdcee3d83 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.