Triple
T3103604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perekop |
E64777
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Syvash |
E64776
|
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: Syvash | Statement: [Perekop, locatedNear, Syvash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syvash Context triple: [Perekop, locatedNear, Syvash]
-
A.
Syvash
chosen
Syvash is a large, shallow system of highly saline lagoons on the western coast of the Sea of Azov, bordering Crimea and known for its marshy, mudflat landscape.
-
B.
Kandalaksha
Kandalaksha is a Russian port town on the Kandalaksha Gulf of the White Sea, known for its Arctic location and nearby nature reserve.
-
C.
Karymskoye Lake
Karymskoye Lake is a small volcanic crater lake in Russia’s Kamchatka Peninsula, known for its location within the highly active Karymsky volcanic complex.
-
D.
Svityaz Lake
Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
-
E.
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.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26f376c8190a049399e33314d52 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224c4e59c819084a3aa19824c1621 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:03 p.m.