Triple
T2451885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prut River |
E53723
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Moldova |
E25071
|
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: Moldova | Statement: [Prut River, country, Moldova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moldova Context triple: [Prut River, country, Moldova]
-
A.
Moldova
chosen
Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
-
B.
Transnistria
Transnistria is a breakaway, internationally unrecognized territory along Moldova’s eastern border, known for its Soviet-style political system, Russian military presence, and ethnically mixed population.
-
C.
Ukraine and Moldova
Ukraine and Moldova are neighboring Eastern European countries that share historical, cultural, and economic ties as well as a long land border.
-
D.
Romania
Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
-
E.
Belarus
Belarus is an Eastern European country known for its flat landscapes, dense forests, and historical ties to both the Soviet Union and the broader Slavic cultural sphere.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f52524819088b00009c9dd1823 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cd7deac8190af5470c900ad44c1 |
completed | March 9, 2026, 11:50 p.m. |
Created at: March 6, 2026, 9:43 p.m.