Triple
T17003577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningradsky suburban direction |
E412509
|
entity |
| Predicate | hasTerminusOrMajorStop |
P34947
|
FINISHED |
| Object | Zelenograd |
E392816
|
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: Zelenograd | Statement: [Leningradsky suburban direction, hasTerminusOrMajorStop, Zelenograd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zelenograd Context triple: [Leningradsky suburban direction, hasTerminusOrMajorStop, Zelenograd]
-
A.
Zelenograd
chosen
Zelenograd is a district of Moscow, Russia, known as a major center for electronics, microelectronics, and high-tech industry, often referred to as Russia’s "Silicon Valley."
-
B.
Medvedkovo
Medvedkovo is a Moscow Metro station serving as the northeastern terminus of the Kaluzhsko–Rizhskaya Line.
-
C.
Zelenogradsk
Zelenogradsk is a coastal resort town in Russia’s Kaliningrad Oblast on the Baltic Sea, known for its beaches, historic architecture, and proximity to the Curonian Spit.
-
D.
Elektrostal
Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
-
E.
Dolgoprudny
Dolgoprudny is a town in Moscow Oblast, Russia, known for hosting the Moscow Institute of Physics and Technology and forming part of the northern suburbs of Moscow.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc2035848190bf299875d37c8ac7 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.