Triple
T13715197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buren |
E328878
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Korne
Korne is a river in the Netherlands on which the town of Buren is situated.
|
E1058144
|
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: Korne | Statement: [Buren, locatedOnRiver, Korne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korne Context triple: [Buren, locatedOnRiver, Korne]
-
A.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
B.
Krewo
Krewo is a historic village in present-day Belarus, best known as the site where the Union of Krewo was concluded in 1385, marking a pivotal dynastic union between the Kingdom of Poland and the Grand Duchy of Lithuania.
-
C.
Korenlei
Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
-
D.
Kor
Kor is a prominent Klingon warrior and commander from the Star Trek franchise, known as one of the earliest and most iconic Klingon characters in the series.
-
E.
Korvel
Korvel is a residential neighborhood in the Dutch city of Tilburg, known for its mix of urban housing, local shops, and multicultural character.
- 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: Korne Triple: [Buren, locatedOnRiver, Korne]
Generated description
Korne is a river in the Netherlands on which the town of Buren is situated.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Korne Target entity description: Korne is a river in the Netherlands on which the town of Buren is situated.
-
A.
Kropinski
Kropinski is a surname most notably associated with South African-born actress Kasha Kropinski.
-
B.
Krewo
Krewo is a historic village in present-day Belarus, best known as the site where the Union of Krewo was concluded in 1385, marking a pivotal dynastic union between the Kingdom of Poland and the Grand Duchy of Lithuania.
-
C.
Korenlei
Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
-
D.
Kor
Kor is a prominent Klingon warrior and commander from the Star Trek franchise, known as one of the earliest and most iconic Klingon characters in the series.
-
E.
Korvel
Korvel is a residential neighborhood in the Dutch city of Tilburg, known for its mix of urban housing, local shops, and multicultural character.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43973cf08190a417d0cca9dd314a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d56a90081908158dcf4ee061fb6 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f7a15f3c908190be380355972def6e |
completed | May 3, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2234390819093814fd435f9c42c |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 9, 2026, 9:54 p.m.