Triple
T15266985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belozersk |
E364924
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Belozersk land |
E364924
|
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: Belozersk land | Statement: [Belozersk, historicalRegion, Belozersk land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belozersk land Context triple: [Belozersk, historicalRegion, Belozersk land]
-
A.
Belozersk
chosen
Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
-
B.
Novgorod-Seversk land
Novgorod-Seversk land was a historical principality of Kievan Rus centered around the town of Novgorod-Seversky in the forest-steppe region of northeastern Ukraine.
-
C.
Pskov Upland
Pskov Upland is a hilly elevated region in western Russia known for its distinctive landscape and historical sites, including the Pskov-Caves Monastery.
-
D.
Bolkhov
Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
-
E.
Suzdal region
The Suzdal region is a historic area in central Russia renowned for its well-preserved medieval towns, churches, and monasteries that form part of the Golden Ring.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6fc290819096ef03f8ecae8876 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.