Triple
T18622956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otradnoye |
E455201
|
entity |
| Predicate | hasNearbyWaterBody |
P1489
|
FINISHED |
| Object | Neva River |
—
|
NE NERFINISHED |
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: Neva River | Statement: [Otradnoye, hasNearbyWaterBody, Neva River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neva River Context triple: [Otradnoye, hasNearbyWaterBody, Neva River]
-
A.
Neva River
chosen
The Neva River is a major waterway in northwestern Russia that flows through Saint Petersburg into the Gulf of Finland, playing a central role in the city's geography, history, and economy.
-
B.
Neva
Neva is a feminine given name of Latin origin meaning "snow," used in various cultures.
-
C.
Moika River
The Moika River is a small, historic waterway in central Saint Petersburg, Russia, lined with notable palaces and landmarks and forming part of the city’s iconic canal network.
-
D.
Bolshaya Nevka
Bolshaya Nevka is a major distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
E.
Moyka River
The Moyka River is a small, historic waterway flowing through central Saint Petersburg, lined with notable palaces, embankments, and cultural landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.