Triple
T16968131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyborgsky District, Saint Petersburg |
E411595
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Prospekt Toreza |
E1021978
|
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: Prospekt Toreza | Statement: [Vyborgsky District, Saint Petersburg, traversedBy, Prospekt Toreza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prospekt Toreza Context triple: [Vyborgsky District, Saint Petersburg, traversedBy, Prospekt Toreza]
-
A.
Prospekt Toreza
chosen
Prospekt Toreza is a major avenue in Saint Petersburg, Russia, known for connecting residential neighborhoods and key transport routes in the northern part of the city.
-
B.
Prospekt Mira
Prospekt Mira is a central avenue and notable urban landmark in the city of Vladikavkaz, Russia.
-
C.
Prospekt Mira
Prospekt Mira is a Moscow Metro station on the circular Koltsevaya Line, known for its ornate Stalinist-era architecture and central location.
-
D.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
-
E.
Tapa
Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a6f628819080db47285954729a |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46f1d608190befe4dcbda086c03 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.