Triple
T10484418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavlovsky Uyezd |
E247258
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Pavlovo |
E865639
|
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: Pavlovo | Statement: [Pavlovsky Uyezd, namedAfter, Pavlovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavlovo Context triple: [Pavlovsky Uyezd, namedAfter, Pavlovo]
-
A.
Pavlovo
chosen
Pavlovo is a historic town in Russia, known as an administrative center and for its traditional metalworking and handicraft industries.
-
B.
Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
-
C.
Karlovo
Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
-
D.
Nova Pazova
Nova Pazova is a town in northern Serbia known as a suburban and industrial settlement within the municipality of Stara Pazova in the Vojvodina region.
-
E.
Preobrajenska
Preobrajenska is a Russian surname most notably associated with Olga Preobrajenska, a celebrated ballerina and influential ballet teacher of the late 19th and early 20th centuries.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50968a0bc8190a18ba24eb37431d9 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dc44d7881908391487275b845bf |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:22 p.m.