Triple
T11593290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vâlcea County |
E274937
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Bălcești |
E933062
|
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: Bălcești | Statement: [Vâlcea County, hasTown, Bălcești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bălcești Context triple: [Vâlcea County, hasTown, Bălcești]
-
A.
Bălcești
chosen
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
B.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
C.
Bușteni
Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
-
D.
Giurgiulești
Giurgiulești is a Moldovan village and river port located at the country’s southern tip, serving as its only direct access point to the Danube and maritime trade routes.
-
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_69f5f631efb4819096ad6ee0c87fa7a7 |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:38 p.m.