Triple
T14430206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Арбатско-Покровская линия |
E357804
|
entity |
| Predicate | имеетСтанцию |
P726
|
FINISHED |
| Object | Первомайская |
E890374
|
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: Первомайская | Statement: [Арбатско-Покровская линия, имеетСтанцию, Первомайская]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Первомайская Context triple: [Арбатско-Покровская линия, имеетСтанцию, Первомайская]
-
A.
Oktyabrskaya
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.
Pervomayskaya
chosen
Pervomayskaya is a station on the Moscow Metro system, located in the eastern part of the city.
-
C.
Bakhmach
Bakhmach is a town in northern Ukraine known historically as a regional railway junction and settlement within the former Poltava Governorate of the Russian Empire.
-
D.
Oktyabrsky
Oktyabrsky is a Russian surname most notably borne by Soviet Admiral Filipp Oktyabrsky, a prominent naval commander during World War II.
-
E.
Oktyabrsky
Oktyabrsky is a significant industrial city in the Republic of Bashkortostan, Russia, known for its oil and gas industry.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd1c4d0819085edb9ed22128b68 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.