Triple
T11205154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Râul Negru |
E265140
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | ro:Râul Negru |
E265140
|
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: ro:Râul Negru | Statement: [Râul Negru, hasNameInLanguage, ro:Râul Negru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ro:Râul Negru Context triple: [Râul Negru, hasNameInLanguage, ro:Râul Negru]
-
A.
Râul Negru
chosen
Râul Negru is a river in central Romania that flows through Covasna and Brașov counties before joining the Olt River.
-
B.
Nera
Nera is a river in central Italy that flows through the regions of Umbria and Lazio before joining the Tiber.
-
C.
Răut
Răut is a river in Moldova that flows through the central part of the country before joining the Dniester.
-
D.
Crișul Negru
Crișul Negru is a river in western Romania and eastern Hungary, known as one of the three Criș rivers that drain the Crișana region into the Körös and ultimately the Tisza.
-
E.
Kala Nera
Kala Nera is a seaside village in the Pelion region of Greece, known for its beaches, traditional tavernas, and relaxed holiday atmosphere along the Pagasetic Gulf.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4972bfbd481908cd0da59389ae17c |
completed | April 19, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:30 p.m.