Triple
T539637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Sea |
E12600
|
entity |
| Predicate | receivesRiver |
P4359
|
FINISHED |
| Object | Dniester |
E41326
|
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: Dniester | Statement: [Black Sea, receivesRiver, Dniester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dniester Context triple: [Black Sea, receivesRiver, Dniester]
-
A.
Dniester
chosen
The Dniester is a major river in Eastern Europe that flows through Ukraine and Moldova before emptying into the Black Sea.
-
B.
Dnieper
The Dnieper is a major Eastern European river that flows through Russia, Belarus, and Ukraine before emptying into the Black Sea.
-
C.
Prut River
The Prut River is a significant Eastern European waterway that flows through Ukraine, Moldova, and Romania, forming much of the border between Romania and Moldova before joining the Danube.
-
D.
Maritsa
Maritsa is a significant river in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
-
E.
Danube
The Danube is one of Europe's longest and most historically significant rivers, flowing from Germany to the Black Sea and passing through numerous Central and Eastern European countries.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dd31c88190b3114805aa31931c |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e9b6d1088190a925b1b3d78e9674 |
completed | March 2, 2026, 1:36 a.m. |
Created at: March 1, 2026, 7:32 p.m.