Triple
T2769214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Sea |
E61411
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kandalaksha Gulf |
E297844
|
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: Kandalaksha Gulf | Statement: [White Sea, hasPart, Kandalaksha Gulf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandalaksha Gulf Context triple: [White Sea, hasPart, Kandalaksha Gulf]
-
A.
Moscow Sea
Moscow Sea is the popular name for the Ivankovo Reservoir, a large artificial lake on the Volga River that serves as a key water source and recreational area for Moscow.
-
B.
Motovsky Gulf
Motovsky Gulf is a remote inlet of the Barents Sea in northwestern Russia, known for its harsh Arctic conditions and proximity to the Kola Peninsula.
-
C.
Kandalaksha
chosen
Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
-
D.
Nagatinsky Zaton
Nagatinsky Zaton is a metro station on Moscow’s Big Circle Line serving the Nagatinsky Zaton district in the city’s southeast.
-
E.
Gulf of Finland
The Gulf of Finland is a long, narrow arm of the Baltic Sea bordered by Finland, Estonia, and Russia, leading eastward to the city of Saint Petersburg.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6785d88190b99f99889463a962 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6496dc88190b316d5b36bc5df67 |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:57 p.m.