Triple
T6843528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klyazma River |
E157834
|
entity |
| Predicate | dischargeLocation |
P4108
|
FINISHED |
| Object | Oka River |
E56140
|
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: Oka River | Statement: [Klyazma River, dischargeLocation, Oka River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oka River Context triple: [Klyazma River, dischargeLocation, Oka River]
-
A.
Oka River
The Oka River is a short river in the Basque Country of northern Spain that flows through the Urdaibai Biosphere Reserve before reaching the Bay of Biscay.
-
B.
Oka River
chosen
The Oka River is a major river in central Russia that flows through cities like Oryol, Kaluga, and Nizhny Novgorod before joining the Volga.
-
C.
Karura River
Karura River is a watercourse flowing through Nairobi’s Karura Forest, contributing to the forest’s rich biodiversity and scenic natural environment.
-
D.
Ishim River
The Ishim River is a major river in northern Kazakhstan and southern Russia that flows through the capital city of Astana before joining the Irtysh River.
-
E.
Akuta River
The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8341cd2088190835992e0635d1b4e |
completed | March 28, 2026, 8:03 p.m. |
Created at: March 27, 2026, 2:19 p.m.