Triple
T20456473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herzog, Kansas |
E501800
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Herzog, Russia |
—
|
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: Herzog, Russia | Statement: [Herzog, Kansas, namedAfter, Herzog, Russia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herzog, Russia Context triple: [Herzog, Kansas, namedAfter, Herzog, Russia]
-
A.
Herzog, Saratov Governorate
chosen
Herzog, Saratov Governorate was a Volga German settlement in the Russian Empire whose emigrants later founded communities such as Herzog (now Victoria), Kansas, in the United States.
-
B.
Svechin
Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
-
C.
Klimowitschi
Klimowitschi is a town in Belarus known in part for its international municipal partnership with Werder (Havel) in Germany.
-
D.
Odoyev
Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
-
E.
Grusinsky
Grusinsky is a surname of likely Eastern European or Russian origin.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.