Triple
T14897501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerna River |
E359915
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Oltenia |
E370507
|
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: Oltenia | Statement: [Cerna River, region, Oltenia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oltenia Context triple: [Cerna River, region, Oltenia]
-
A.
Oltenia
chosen
Oltenia is a historical region in southwestern Romania, west of the Olt River, known as the western part of the former principality of Wallachia.
-
B.
Crișana
Crișana is a historical region in western Romania, known for its multicultural heritage and location between the Apuseni Mountains and the Hungarian border.
-
C.
Maramureș region
The Maramureș region is a historic area in northern Romania renowned for its well-preserved rural traditions, wooden churches, and distinctive folk culture.
-
D.
Piatra-Olt
Piatra-Olt is a small town in southern Romania known as a local railway junction and administrative center within Olt County.
-
E.
Covasna
Covasna is a spa town in central Romania, renowned for its mineral springs and cardiovascular treatment facilities.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b6966e88190a0ed475b22a77cf1 |
completed | May 8, 2026, 11:02 p.m. |
Created at: April 10, 2026, 2:11 a.m.