Triple
T13129764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyborgsky District |
E311936
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Ozerki |
E511935
|
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: Ozerki | Statement: [Vyborgsky District, hasMetroStation, Ozerki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ozerki Context triple: [Vyborgsky District, hasMetroStation, Ozerki]
-
A.
Ozerki
chosen
Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
-
B.
Yelshanka
Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
-
C.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
D.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
E.
Rybachye
Rybachye is the former name of Balykchy, a town on the western shore of Lake Issyk-Kul in Kyrgyzstan.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae08a148190af391d173f25b714 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:07 p.m.