Triple
T19506263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DN73 |
E488029
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Brașov |
—
|
NE NERFINISHED |
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: Brașov | Statement: [DN73, connects, Brașov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brașov Context triple: [DN73, connects, Brașov]
-
A.
Brașov
chosen
Brașov is a historic city in central Romania, renowned for its well-preserved medieval architecture, fortified churches, and role as a major cultural and economic center of Transylvania.
-
B.
Brasova
Brasova is the surname of Countess Natalia Brasova, a Russian noblewoman best known as the morganatic wife of Grand Duke Michael Alexandrovich of Russia.
-
C.
Sighișoara
Sighișoara is a well-preserved medieval town in central Romania, renowned for its fortified old citadel and rich Transylvanian Saxon heritage.
-
D.
Ploiești
Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
-
E.
Oradea
Oradea is a major city in western Romania near the Hungarian border, known for its Art Nouveau architecture, thermal spas, and role as an important cultural and economic center in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63511fc688190bd1474406060fa1b |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.