Triple
T17278405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyborgsky District |
E419451
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vyborg Bay |
—
|
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: Vyborg Bay | Statement: [Vyborgsky District, contains, Vyborg Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vyborg Bay Context triple: [Vyborgsky District, contains, Vyborg Bay]
-
A.
Vyborg Bay
chosen
Vyborg Bay is a coastal inlet of the Gulf of Finland in the Baltic Sea, known for its scenic archipelago, historic port city of Vyborg, and strategic maritime location between Russia and Finland.
-
B.
Tallinn Bay
Tallinn Bay is a coastal bay in northern Estonia on the Gulf of Finland, forming the maritime setting for the city of Tallinn and its surrounding islands.
-
C.
Tuapse Bay
Tuapse Bay is a coastal inlet on the northeastern shore of the Black Sea, serving as the maritime setting for the Russian port city of Tuapse.
-
D.
Onega Bay
Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
-
E.
Töölönlahti Bay
Töölönlahti Bay is a scenic urban bay in central Helsinki, Finland, surrounded by parks, cultural landmarks, and walking paths.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
Created at: April 10, 2026, 5:40 a.m.