Triple
T11364172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teleorman County |
E269159
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Turnu Măgurele |
E952146
|
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: Turnu Măgurele | Statement: [Teleorman County, hasTown, Turnu Măgurele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turnu Măgurele Context triple: [Teleorman County, hasTown, Turnu Măgurele]
-
A.
Turnu Măgurele
chosen
Turnu Măgurele is a town in southern Romania situated on the Danube River near the border with Bulgaria.
-
B.
Sighetu Marmației
Sighetu Marmației is a town in northern Romania’s Maramureș region, known as the birthplace of Nobel laureate and Holocaust survivor Elie Wiesel.
-
C.
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.
-
D.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
-
E.
Târgu Ocna
Târgu Ocna is a town in Bacău County, Romania, known for its historic salt mine and spa tourism in the Trotuș Valley.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea4589908190948a8225768e1eec |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43f15873881909e98e79283056573 |
completed | May 1, 2026, 5:50 a.m. |
Created at: April 8, 2026, 9:33 p.m.