Triple
T11205134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olteț River |
E265139
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Bălcești
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
|
E933062
|
NE FINISHED |
How this triple was built (4 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: [Olteț River, flowsThrough, Bălcești]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bălcești Context triple: [Olteț River, flowsThrough, Bălcești]
-
A.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
B.
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.
-
C.
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.
-
D.
Giulești
Giulești is a residential neighborhood in western Bucharest, Romania, known for its working-class character and association with the Rapid București football club.
-
E.
Zărnești
Zărnești is a small Romanian town in Brașov County, known as a key gateway to the Piatra Craiului Mountains and a popular base for hiking and nature tourism in the Carpathians.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bălcești Triple: [Olteț River, flowsThrough, Bălcești]
Generated description
Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bălcești Target entity description: Bălcești is a small town in Vâlcea County, Romania, situated in the historical region of Oltenia.
-
A.
Băilești
Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
-
B.
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.
-
C.
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.
-
D.
Giulești
Giulești is a residential neighborhood in western Bucharest, Romania, known for its working-class character and association with the Rapid București football club.
-
E.
Zărnești
Zărnești is a small Romanian town in Brașov County, known as a key gateway to the Piatra Craiului Mountains and a popular base for hiking and nature tourism in the Carpathians.
- F. None of above. chosen
Provenance (5 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6e19c9c81909d114cf9bd0e2f84 |
completed | April 21, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69e6ec59994c8190b1de0bec84324fa1 |
completed | April 21, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f8ec88e88190bfa21c2d06d67bd8 |
completed | April 21, 2026, 4:11 a.m. |
Created at: April 8, 2026, 9:30 p.m.