Triple
T6425590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeya River |
E128050
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Svobodny |
E101697
|
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: Svobodny | Statement: [Zeya River, flowsThrough, Svobodny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svobodny Context triple: [Zeya River, flowsThrough, Svobodny]
-
A.
Svobodny
chosen
Svobodny is a town in Russia’s Amur Oblast, known historically as a Trans-Siberian Railway hub and more recently for its proximity to the Vostochny Cosmodrome.
-
B.
Svoboda
Svoboda is a common Czech surname borne by numerous notable figures, including politicians, artists, and athletes.
-
C.
Privolnoye
Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
-
D.
Vrijheid
Vrijheid was a Dutch ship of the line that served as the flagship of the Dutch fleet during the late 18th century and was captured by the British at the Battle of Camperdown in 1797.
-
E.
Molodyozhnaya
Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691f944c81909d4e5d8ef9e494b6 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640df84288190ac4691f5a51bf22c |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:43 p.m.