Triple
T9717840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Arbat Avenue |
E235386
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Moscow River |
E14309
|
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: Moscow River | Statement: [New Arbat Avenue, near, Moscow River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moscow River Context triple: [New Arbat Avenue, near, Moscow River]
-
A.
Setun River
The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva River.
-
B.
Moskva River
chosen
The Moskva River is a major waterway in western Russia that flows through and gives its name to the capital city, Moscow.
-
C.
Tartar River
The Tartar River is a significant watercourse in the South Caucasus that flows through parts of Azerbaijan as an important tributary within the Kura–Aras river system.
-
D.
Valerik River
The Valerik River is a waterway in the North Caucasus region of Russia, historically noted as a site of 19th-century conflicts during the Caucasian War.
-
E.
Venoge River
The Venoge River is a watercourse in the canton of Vaud in western Switzerland that flows through the Gros-de-Vaud region before emptying into Lake Geneva.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e3ea61081908a5671fc5be9a738 |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d048c5081908c891633129dc5d6 |
completed | April 5, 2026, 7:19 a.m. |
Created at: March 30, 2026, 8:20 p.m.