Triple
T1847940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dniester |
E41326
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Răut
Răut is a river in Moldova that flows through the central part of the country before joining the Dniester.
|
E206175
|
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: Răut | Statement: [Dniester, hasTributary, Răut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Răut Context triple: [Dniester, hasTributary, Răut]
-
A.
Ruda
Ruda is the former name of the global sportswear and athletic brand now known as Puma.
-
B.
Dragobete
Dragobete is a traditional Romanian holiday celebrated in late February that honors love, the coming of spring, and folk customs surrounding courtship and nature.
-
C.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
D.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
E.
Rammenau
Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
- 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: Răut Triple: [Dniester, hasTributary, Răut]
Generated description
Răut is a river in Moldova that flows through the central part of the country before joining the Dniester.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Răut Target entity description: Răut is a river in Moldova that flows through the central part of the country before joining the Dniester.
-
A.
Ruda
Ruda is the former name of the global sportswear and athletic brand now known as Puma.
-
B.
Dragobete
Dragobete is a traditional Romanian holiday celebrated in late February that honors love, the coming of spring, and folk customs surrounding courtship and nature.
-
C.
Raka
Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
-
D.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
E.
Rammenau
Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb05412a08190855ea453d1264ea3 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c2e0a081909f521e6f73956239 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaf1917c819090eac27de62494ca |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbba64588190aa0ebd2b6f67afa7 |
completed | March 8, 2026, 7:19 p.m. |
Created at: March 4, 2026, 7:33 p.m.