Triple
T17839418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozhaysky District |
E445482
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | town of Mozhaysk |
—
|
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: town of Mozhaysk | Statement: [Mozhaysky District, contains, town of Mozhaysk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Mozhaysk Context triple: [Mozhaysky District, contains, town of Mozhaysk]
-
A.
Mozhaisk
chosen
Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
-
B.
city of Poshekhonye
The city of Poshekhonye is a small historic town in central Russia known for its traditional cheese production and location along the Sogozha River.
-
C.
Belozersk
Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
-
D.
city of Gavrilov-Yam
The city of Gavrilov-Yam is a small industrial and cultural center in central Russia, known historically for its textile and yarn production.
-
E.
city of Rybinsk
The city of Rybinsk is a major industrial and river port city in western Russia, situated on the Volga River and historically known as an important transportation and trade hub.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2a570c81909787296bde7e795c |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.