Triple
T218909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermitage Museum |
E4170
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Neva River |
E9869
|
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: Neva River | Statement: [Hermitage Museum, locatedOn, Neva River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neva River Context triple: [Hermitage Museum, locatedOn, 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.
Moskva River
The Moskva River is a major waterway in western Russia that flows through and gives its name to the capital city, Moscow.
-
C.
Griboyedov Canal
Griboyedov Canal is a historic waterway in central Saint Petersburg, Russia, known for its picturesque embankments and proximity to major landmarks such as the Church of the Savior on Spilled Blood.
-
D.
Lena River
The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
-
E.
Neman River
The Neman River is a major river in Eastern Europe that flows through Belarus and Lithuania before emptying into the Baltic Sea.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c5199d8819096736c11077adec3 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36730f0a88190aac3d2e796ee544f |
completed | Feb. 28, 2026, 10:07 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.