Triple
T10176396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuvshinovsky District |
E235862
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object | Pryamukhino |
E42665
|
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: Pryamukhino | Statement: [Kuvshinovsky District, hasNotablePlace, Pryamukhino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pryamukhino Context triple: [Kuvshinovsky District, hasNotablePlace, Pryamukhino]
-
A.
Pryamukhino
chosen
Pryamukhino is a rural locality in Russia best known as the birthplace and family estate of the anarchist philosopher Mikhail Bakunin.
-
B.
Priyadarshana
Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
-
C.
Prayaschita
Prayaschita is a notable literary work by pioneering Odia writer Fakir Mohan Senapati, reflecting his influential role in modern Odia literature.
-
D.
Prasuni
Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
-
E.
Panchjanya
Panchjanya is a long-running Hindi weekly magazine associated with Hindu nationalist thought and the Rashtriya Swayamsevak Sangh (RSS).
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd3a2688190bce277bffffcbf8b |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32acbd9ec81908849b17d8ba1dd11 |
completed | April 6, 2026, 3:38 a.m. |
Created at: March 30, 2026, 9:11 p.m.