Triple
T17981364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shchyokinsky Municipal District |
E449607
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Shchyokino |
—
|
NE NERFINISHED |
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: Shchyokino | Statement: [Shchyokinsky Municipal District, hasCapital, Shchyokino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shchyokino Context triple: [Shchyokinsky Municipal District, hasCapital, Shchyokino]
-
A.
Shchyokino
chosen
Shchyokino is a town in Tula Oblast, Russia, known as a local industrial center and the administrative hub of its surrounding district.
-
B.
Shchors
Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
-
C.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
D.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
E.
Shchekochikhin
Shchekochikhin is a Russian surname most notably associated with Yuri Shchekochikhin, a prominent investigative journalist and politician.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20431588190a5fe2148a61de403 |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.