Triple
T17790808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolshaya Neva |
E444154
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object | Liteyny Bridge |
—
|
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: Liteyny Bridge | Statement: [Bolshaya Neva, hasBridge, Liteyny Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liteyny Bridge Context triple: [Bolshaya Neva, hasBridge, Liteyny Bridge]
-
A.
Liteyny Bridge
chosen
Liteyny Bridge is a major steel bascule bridge in Saint Petersburg, Russia, known for carrying traffic across the Neva River and for its role in the city's historic urban landscape.
-
B.
Sluie Bridge
Sluie Bridge is a historic road bridge spanning the River Findhorn in the Scottish Highlands.
-
C.
Megyeri Bridge
Megyeri Bridge is a modern cable-stayed bridge over the Danube River in Budapest, Hungary, serving as a key northern bypass for the city’s ring road system.
-
D.
Mariánský most
Mariánský most is a distinctive modern cable-stayed road bridge spanning the Elbe River in Ústí nad Labem in the Czech Republic.
-
E.
Bastei Bridge
Bastei Bridge is a famous stone bridge and scenic lookout spanning dramatic sandstone rock formations above the Elbe River in Saxon Switzerland, Germany.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879688908190a5428b1fa7525f62 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.