Triple
T3944027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volhynia |
E92101
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Styr River |
E96034
|
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: Styr River | Statement: [Volhynia, borderedBy, Styr River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Styr River Context triple: [Volhynia, borderedBy, Styr River]
-
A.
Styr River
chosen
The Styr River is a waterway in western Ukraine that flows through the city of Lutsk and is a tributary of the Pripyat River.
-
B.
Korang River
Korang River is a stream in Pakistan that serves as a primary inflow to Rawal Lake near Islamabad.
-
C.
Yom River
The Yom River is a major waterway in northern Thailand that flows southward through several provinces before joining other rivers that feed into the Chao Phraya River system.
-
D.
Kuvam River
Kuvam River is an alternative name for the Cooum River, a short but historically significant river flowing through the city of Chennai in the Indian state of Tamil Nadu.
-
E.
Virilla River
The Virilla River is a significant waterway in Costa Rica’s Central Valley that runs near the capital city of San José and contributes to the region’s drainage and landscape.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeee00d94881908fcf5ee1e27b1658 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f5aca208190824a611c784ab1a1 |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 9, 2026, 3:24 p.m.