Triple
T13155246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluzhsko–Rizhskaya Line |
E312566
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Oktyabrskaya |
E229950
|
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: Oktyabrskaya | Statement: [Kaluzhsko–Rizhskaya Line, hasStation, Oktyabrskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oktyabrskaya Context triple: [Kaluzhsko–Rizhskaya Line, hasStation, Oktyabrskaya]
-
A.
Oktyabrskaya
chosen
Oktyabrskaya is a Moscow Metro station known for its distinctive Soviet-era architecture and role as a key transfer point in the city’s subway network.
-
B.
Oktyabrsk
Oktyabrsk is a small industrial city in Russia located on the Volga River within Samara Oblast.
-
C.
Oktyabrsky
Oktyabrsky is a Russian surname most notably borne by Soviet Admiral Filipp Oktyabrsky, a prominent naval commander during World War II.
-
D.
Oktyabrsky
Oktyabrsky is a significant industrial city in the Republic of Bashkortostan, Russia, known for its oil and gas industry.
-
E.
Black October (Russia)
Black October (Russia) refers to the violent climax of the 1993 Russian constitutional crisis, when a power struggle between President Boris Yeltsin and the parliament led to armed clashes and the shelling of the Russian White House in 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaee8aa0819089994b85d56c7740 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:12 p.m.