Triple
T10510462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troitsky Bridge |
E247897
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Troitsky Bridge |
E247897
|
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: Troitsky Bridge | Statement: [Troitsky Bridge, officialName, Troitsky Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troitsky Bridge Context triple: [Troitsky Bridge, officialName, Troitsky Bridge]
-
A.
Troitsky Bridge
chosen
Troitsky Bridge is a historic steel arch bridge in Saint Petersburg, Russia, spanning the Neva River and connecting the city center with the Petrograd Side.
-
B.
Rubtsovsky Bridge
Rubtsovsky Bridge is a road bridge in Moscow, Russia, carrying traffic across the Yauza River.
-
C.
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.
-
D.
Obukhovsky Bridge
Obukhovsky Bridge is a historic road bridge in Saint Petersburg, Russia, known for carrying traffic across the Fontanka River near the city center.
-
E.
Kolomyazhsky Bridge
Kolomyazhsky Bridge is a road bridge in Saint Petersburg, Russia, spanning the Malaya Nevka River and connecting parts of the city’s Primorsky District.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b542088190868531f84deaf9e4 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcee1db081908c791867e2438d30 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:27 p.m.