Triple
T3708827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Sobyanin |
E80958
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sergei Sobyanin |
E80958
|
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: Sergei Sobyanin | Statement: [Sergei Sobyanin, name, Sergei Sobyanin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergei Sobyanin Context triple: [Sergei Sobyanin, name, Sergei Sobyanin]
-
A.
Sergei Sobyanin
chosen
Sergei Sobyanin is a Russian politician best known as the long-serving Mayor of Moscow.
-
B.
Yuri Luzhkov
Yuri Luzhkov was a long-serving Russian politician best known as the powerful and often controversial mayor of Moscow from 1992 to 2010.
-
C.
Anatoly Sobchak
Anatoly Sobchak was a prominent Russian lawyer, reformist politician, and the first democratically elected mayor of Saint Petersburg, known for his role in the early post-Soviet political transformation.
-
D.
Sergei Kiriyenko
Sergei Kiriyenko is a Russian politician and former prime minister who later became a senior Kremlin official and first deputy chief of staff to President Vladimir Putin.
-
E.
Mayor of Moscow
The Mayor of Moscow is the highest-ranking city official responsible for governing Russia’s capital, overseeing its administration, budget, and urban development.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc580b08481908391283778d5ce14 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0216bc8190b44d2950b7cb24c3 |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:33 p.m.