Triple
T2422726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olt River |
E53453
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Râmnicu Vâlcea |
E83100
|
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: Râmnicu Vâlcea | Statement: [Olt River, passesThrough, Râmnicu Vâlcea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Râmnicu Vâlcea Context triple: [Olt River, passesThrough, Râmnicu Vâlcea]
-
A.
Râmnicu Vâlcea
chosen
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
-
B.
Miercurea Ciuc
Miercurea Ciuc is a town in eastern Transylvania, Romania, known as a cultural center of the Székely Hungarian community and for its cold climate.
-
C.
Pitești
Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
-
D.
Soroca
Soroca is a historic town in northern Moldova known for its well-preserved medieval fortress on the banks of the Dniester River.
-
E.
Ploiești
Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc972934481909e05bd6f31162f9d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc62dc38c8190a392c4179a78ae97 |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:42 p.m.