Triple
T10640616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muntenia |
E250709
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Ploiești |
E277709
|
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: Ploiești | Statement: [Muntenia, containsCity, Ploiești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ploiești Context triple: [Muntenia, containsCity, Ploiești]
-
A.
Ploiești
chosen
Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
-
B.
Pitești
Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
-
C.
Craiova
Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
-
D.
Miercurea Ciuc
Miercurea Ciuc is a town in eastern Transylvania, Romania, known as a cultural center of the Székely Hungarian community and for its cold climate.
-
E.
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.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcd19648190882380d2c90be486 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343cd76448190b0583cc15005ac9d |
completed | April 18, 2026, 8:41 a.m. |
Created at: April 8, 2026, 9:04 p.m.