Triple
T2243233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Prussia |
E49443
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Tilsit |
E163087
|
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: Tilsit | Statement: [East Prussia, majorCity, Tilsit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilsit Context triple: [East Prussia, majorCity, Tilsit]
-
A.
Tilsit
chosen
Tilsit is a historic town in former East Prussia (now Sovetsk, Russia), best known as the site where Napoleon and Tsar Alexander I concluded the Treaties of Tilsit in 1807.
-
B.
Tuapse
Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
-
C.
Mytishchi
Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
-
D.
Baltus
Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
-
E.
Kholmsk
Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c157e88190a5bc876d9591a24b |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b10c38c8190af7d6d99f9377df1 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.