Triple
T12182185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Țara Bârsei |
E290246
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Feldioara |
E895648
|
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: Feldioara | Statement: [Țara Bârsei, contains, Feldioara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feldioara Context triple: [Țara Bârsei, contains, Feldioara]
-
A.
Feldioara
chosen
Feldioara is a commune in central Romania known for its historic Teutonic fortress and its location near the city of Brașov.
-
B.
Horezu
Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
-
C.
Rupea
Rupea is a small historic town in central Romania, known for its medieval hilltop fortress and location within Brașov County in Transylvania.
-
D.
Dovadola
Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
-
E.
Cahuleni
Cahuleni is a village-level settlement located within Leova District in southwestern Moldova.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fd8dac8190928059ad2b6bbbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6acee6481908ee4129956c98c52 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.