Triple
T19352845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorj County |
E484064
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Rovinari |
—
|
NE NERFINISHED |
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: Rovinari | Statement: [Gorj County, contains, Rovinari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rovinari Context triple: [Gorj County, contains, Rovinari]
-
A.
Vradeto
Vradeto is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its dramatic setting and historic Vradeto Steps path.
-
B.
Horezu
chosen
Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
-
C.
Tutrakan
Tutrakan is a town on the Danube River in northeastern Bulgaria, historically significant as the site of major World War I fighting.
-
D.
Retvizan
Retvizan was a pre-dreadnought battleship of the Imperial Russian Navy, built in the United States and best known for its service and damage during the Russo-Japanese War, particularly at the Battle of Port Arthur.
-
E.
Arbegnoch
Arbegnoch were Ethiopian resistance fighters who waged a guerrilla campaign against Italian occupation during the Second Italo-Ethiopian War and World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61905b16881909ab0e932bb9a0cda |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.