Triple
T14134803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pra River |
E350262
|
entity |
| Predicate | mouth |
P407
|
FINISHED |
| Object | Oka River |
E459970
|
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: [Pra River, mouth, Oka River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oka River Context triple: [Pra River, mouth, Oka River]
-
A.
Oka River
The Oka River is a major river in central Russia that flows through cities like Oryol, Kaluga, and Nizhny Novgorod before joining the Volga.
-
B.
Oka River
chosen
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.
-
C.
Kitoy River
The Kitoy River is a Siberian river in Russia that flows through the Irkutsk Oblast and the Republic of Buryatia before joining the Angara River.
-
D.
Karura River
Karura River is a watercourse flowing through Nairobi’s Karura Forest, contributing to the forest’s rich biodiversity and scenic natural environment.
-
E.
Chuya River
The Chuya River is a major mountain river in Russia’s Altai Republic, known for its scenic valley, challenging whitewater rapids, and role as a key tributary in the Altai river system.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4672bac8819085794c2554bd6e75 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 9, 2026, 11:57 p.m.