Triple
T16387217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vipava River |
E397953
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Vogršček
Vogršček is a small stream in western Slovenia that serves as a tributary of the Vipava River.
|
E1220250
|
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: Vogršček | Statement: [Vipava River, hasTributary, Vogršček]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vogršček Context triple: [Vipava River, hasTributary, Vogršček]
-
A.
Velenjak
Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
-
B.
Korošec
Korošec is a Slovene surname most notably associated with Anton Korošec, a prominent early 20th-century Slovenian politician and statesman.
-
C.
Vrhnika
Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
-
D.
Vrčeň
Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
-
E.
Trstenik
Trstenik is a town in central Serbia known for its location along the West Morava River and its role as a local industrial and cultural center.
- 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: Vogršček Triple: [Vipava River, hasTributary, Vogršček]
Generated description
Vogršček is a small stream in western Slovenia that serves as a tributary of the Vipava River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vogršček Target entity description: Vogršček is a small stream in western Slovenia that serves as a tributary of the Vipava River.
-
A.
Velenjak
Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
-
B.
Korošec
Korošec is a Slovene surname most notably associated with Anton Korošec, a prominent early 20th-century Slovenian politician and statesman.
-
C.
Vrhnika
Vrhnika is a historic town and municipality in central Slovenia, known as a former important trading post and the birthplace of the writer Ivan Cankar.
-
D.
Vrčeň
Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
-
E.
Trstenik
Trstenik is a town in central Serbia known for its location along the West Morava River and its role as a local industrial and cultural center.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00679a900c8190aeb7a273943bf553 |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a00686f87408190b7d8a41cd54735d8 |
completed | May 10, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006b6edd7081908730363b267253dd |
completed | May 10, 2026, 11:26 a.m. |
Created at: April 10, 2026, 5:08 a.m.