Triple
T13155240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluzhsko–Rizhskaya Line |
E312566
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Rizhskaya |
E235848
|
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: Rizhskaya | Statement: [Kaluzhsko–Rizhskaya Line, hasStation, Rizhskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rizhskaya Context triple: [Kaluzhsko–Rizhskaya Line, hasStation, Rizhskaya]
-
A.
Rizhskaya
chosen
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
-
B.
Piotrovskaya
Piotrovskaya is the feminine form of the Russian surname Piotrovsky, typically used for women in Russian naming conventions.
-
C.
Kashirskaya
Kashirskaya is a Moscow Metro station that serves as an interchange point on the system’s Big Circle Line.
-
D.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
E.
Paveletskaya
Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s 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_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_69f76b98a7c48190a2ca0ec7b9bd8d19 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 9:12 p.m.