Triple
T14714377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulcea County |
E345637
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Sulina |
E350713
|
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: Sulina | Statement: [Tulcea County, hasTown, Sulina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulina Context triple: [Tulcea County, hasTown, Sulina]
-
A.
Sulina
chosen
Sulina is a small Romanian port town at the eastern edge of the Danube Delta, known as the river’s last settlement before it flows into the Black Sea.
-
B.
Brăila
Brăila is a major port city on the Danube River in eastern Romania, known historically as an important commercial and industrial center.
-
C.
Bistrița
Bistrița is a historic town in northern Transylvania, Romania, known for its medieval architecture and long-standing Transylvanian Saxon heritage.
-
D.
Târgu Jiu
Târgu Jiu is a city in southwestern Romania, known as the capital of Gorj County and for its outdoor sculptures by renowned artist Constantin Brâncuși.
-
E.
Bacau
Bacău is a city in northeastern Romania, known as an important industrial and cultural center of the historical region of Moldavia.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb845de08190b933d90809cde830 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.