Triple
T9100867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klenovy Bulvar |
E218147
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Klenovy Boulevard |
E218147
|
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: Klenovy Boulevard | Statement: [Klenovy Bulvar, serves, Klenovy Boulevard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klenovy Boulevard Context triple: [Klenovy Bulvar, serves, Klenovy Boulevard]
-
A.
Klenovy Bulvar
chosen
Klenovy Bulvar is a metro station on Moscow’s Big Circle Line serving the Klenovy Boulevard area in the city’s southeast.
-
B.
Sretensky Boulevard
Sretensky Boulevard is a historic tree-lined boulevard in central Moscow that forms part of the city’s Boulevard Ring.
-
C.
Wolfova Street
Wolfova Street is a central pedestrian street in Ljubljana, Slovenia, known for its historic architecture and its connection between Prešeren Square and the city’s Old Town.
-
D.
Stodolní Street
Stodolní Street is a famous entertainment district in Ostrava, Czech Republic, known for its dense concentration of bars, clubs, and nightlife venues.
-
E.
Strastnoy Boulevard
Strastnoy Boulevard is a historic central boulevard in Moscow that forms part of the city’s Boulevard Ring and hosts several important governmental and cultural buildings.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9711babc8190a336812dd08d9c73 |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0182d8ea08190b4337a77b47019a5 |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:15 p.m.