Triple
T3103548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syvash |
E64776
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sivash |
E9735
|
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: Sivash | Statement: [Syvash, alsoKnownAs, Sivash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sivash Context triple: [Syvash, alsoKnownAs, Sivash]
-
A.
Rybinsk
Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
-
B.
Kaspi
Kaspi is a town in central Georgia known as an industrial center and regional hub within the Shida Kartli area.
-
C.
Dvina Bay
Dvina Bay is a large inlet of the White Sea in northwestern Russia, known for its connection to the Northern Dvina River and the port city of Arkhangelsk.
-
D.
Azov
Azov is a historic port city in Russia’s Rostov Oblast, located near the mouth of the Don River by the Sea of Azov.
-
E.
Sea of Azov
chosen
The Sea of Azov is a shallow inland sea in Eastern Europe connected to the Black Sea, bordered by Ukraine and Russia and known for its strategic and economic importance.
- 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_69b203846a108190a97c30c463e119b1 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:03 p.m.