Triple
T12510315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubtsovsky Uyezd |
E299058
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Zubtsov |
E1009001
|
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: Zubtsov | Statement: [Zubtsovsky Uyezd, namedAfter, Zubtsov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zubtsov Context triple: [Zubtsovsky Uyezd, namedAfter, Zubtsov]
-
A.
Zubtsov
chosen
Zubtsov is a historic town in Tver Oblast, Russia, situated at the confluence of the Volga and Vazuza rivers and known for its role as a local administrative and trading center.
-
B.
Zemtsov
Zemtsov is a Russian surname most notably borne by violist Mikhail Zemtsov.
-
C.
Gorokhovets
Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
-
D.
Yukhnov
Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
-
E.
Kutakhov
Kutakhov is a Russian surname most notably associated with Soviet Air Force Marshal Pavel Kutakhov.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8be566c81908fba8e8caabbd93c |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:57 p.m.