Triple
T15524146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SZFO |
E369039
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Petrozavodsk |
E101419
|
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: Petrozavodsk | Statement: [SZFO, hasMajorCity, Petrozavodsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petrozavodsk Context triple: [SZFO, hasMajorCity, Petrozavodsk]
-
A.
Petrozavodsk, Russia
chosen
Petrozavodsk is the capital city of Russia’s Republic of Karelia, located on the western shore of Lake Onega and known as a regional cultural and industrial center.
-
B.
Pskov
Pskov is an ancient Russian city near the Estonian border, known for its medieval kremlin, historic churches, and role as a key fortress in northwestern Russia.
-
C.
Kalyazin
Kalyazin is a historic town in Tver Oblast, Russia, known for its partially submerged bell tower in the Uglich Reservoir.
-
D.
Vesyegonsk
Vesyegonsk is a small town in Tver Oblast, Russia, situated on the shores of the Rybinsk Reservoir and known historically as a local administrative and trading center.
-
E.
Muroran
Muroran is an industrial port city in southern Hokkaido, Japan, known for its steel industry and scenic coastal landscapes.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f2d4b1c81909ff876289db20803 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:05 a.m.