Triple
T15336328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Msta River |
E366674
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Valdai Hills |
E53853
|
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: Valdai Hills | Statement: [Msta River, region, Valdai Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdai Hills Context triple: [Msta River, region, Valdai Hills]
-
A.
Valdai Hills
chosen
Valdai Hills is a hilly upland region in western Russia known as a major watershed area where several important rivers, including the Volga, originate.
-
B.
Valdai
Valdai is a line of medium-duty trucks produced by the Russian automotive manufacturer GAZ Group.
-
C.
Turzovka Highlands
Turzovka Highlands is a mountainous region in the Slovak part of the Western Beskids known for its forested landscapes and traditional Carpathian countryside.
-
D.
Yablonovy Range
The Yablonovy Range is a mountain range in southeastern Siberia, Russia, forming part of the watershed between the Lena and Amur river basins and known for its rugged terrain and mineral resources.
-
E.
Izhora Upland
Izhora Upland is a hilly elevated region in northwestern Russia known for its distinctive terrain and role in shaping the landscape around Saint Petersburg.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3f8eac81908489baeb4cb6bb53 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:17 a.m.