Triple
T14982666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principality of Putyvl |
E373618
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kursk lands |
E312116
|
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: Kursk lands | Statement: [Principality of Putyvl, borderedBy, Kursk lands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kursk lands Context triple: [Principality of Putyvl, borderedBy, Kursk lands]
-
A.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
-
B.
Kursk
chosen
Kursk is a historic city in western Russia known for the pivotal World War II Battle of Kursk and its role as an important regional industrial and cultural center.
-
C.
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.
-
D.
Smolenskin
Smolenskin is the surname of Peretz Smolenskin, a prominent 19th-century Hebrew novelist and key figure in the Jewish Enlightenment (Haskalah) movement.
-
E.
Kargopol
Kargopol is a historic town in northern Russia known for its traditional wooden architecture and role as a former regional trading center.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.