Triple
T10011859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kryukov Canal |
E199391
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object | Matveyev Bridge |
E667947
|
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: Matveyev Bridge | Statement: [Kryukov Canal, crossedBy, Matveyev Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matveyev Bridge Context triple: [Kryukov Canal, crossedBy, Matveyev Bridge]
-
A.
Matveev Bridge
chosen
Matveev Bridge is a historic pedestrian bridge in Saint Petersburg, Russia, spanning the Griboyedov Canal and connecting sections of its embankment.
-
B.
Semënovsky Bridge
Semënovsky Bridge is a historic stone bridge in Saint Petersburg, Russia, spanning the Fontanka River and forming part of the city’s central embankment network.
-
C.
Lazarevsky Bridge
Lazarevsky Bridge is a road and pedestrian bridge in Saint Petersburg, Russia, spanning the Malaya Nevka River and connecting parts of the city’s Petrogradsky District.
-
D.
Lanskoy Bridge
Lanskoy Bridge is a road bridge in Saint Petersburg, Russia, spanning the Bolshaya Nevka River and connecting parts of the city’s northern districts.
-
E.
Murom Bridge
Murom Bridge is a large road bridge in Russia that spans the Oka River near the city of Murom, serving as a key regional transport link.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd3cf5b881908f5318e55bdd22b6 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d30020305c81909c4fb01291c70cb6 |
completed | April 6, 2026, 12:36 a.m. |
Created at: March 30, 2026, 8:52 p.m.