Triple
T11593309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vâlcea County |
E274937
|
entity |
| Predicate | hasSpaResort |
P31753
|
FINISHED |
| Object | Băile Olănești |
E934283
|
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: Băile Olănești | Statement: [Vâlcea County, hasSpaResort, Băile Olănești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Băile Olănești Context triple: [Vâlcea County, hasSpaResort, Băile Olănești]
-
A.
Băile Olănești
chosen
Băile Olănești is a Romanian spa town renowned for its mineral springs and therapeutic treatments.
-
B.
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
C.
Băile Tușnad
Băile Tușnad is a small spa town in central Romania, renowned for its mineral springs and picturesque location in the Eastern Carpathians.
-
D.
Drăgănești-Olt
Drăgănești-Olt is a small town in southern Romania, situated in the historical region of Oltenia.
-
E.
Giulești
Giulești is a residential neighborhood in western Bucharest, Romania, known for its working-class character and association with the Rapid București football club.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7b72c888190b069d0ebaebd31d9 |
completed | April 22, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:38 p.m.