Triple
T8771616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubăsari Dam |
E208475
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Dubăsari |
E213707
|
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: Dubăsari | Statement: [Dubăsari Dam, locatedNear, Dubăsari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubăsari Context triple: [Dubăsari Dam, locatedNear, Dubăsari]
-
A.
Dubăsari
chosen
Dubăsari is a town in the disputed region of Transnistria, internationally recognized as part of Moldova, known for its strategic location and hydroelectric dam on the Dniester River.
-
B.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
C.
Gheorgheni
Gheorgheni is a town in Harghita County, Romania, known for its Székely Hungarian community and its location in the Eastern Carpathians.
-
D.
Râmnicu Sărat
Râmnicu Sărat is a town in eastern Romania, historically known as a market and military center and for the nearby former political prison that operated during the communist era.
-
E.
Bușteni
Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2c54c08190a904723d1f0527a4 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b165fb0c81908c79b6ade3cca20e |
completed | April 4, 2026, 6:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.