Triple
T16507214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Struga region |
E400960
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Black Drim
Black Drim is a major river in the Balkans that flows from Lake Ohrid through North Macedonia and Albania before joining the White Drin to form the Drin River.
|
E1217276
|
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: Black Drim | Statement: [Struga region, hasRiver, Black Drim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Drim Context triple: [Struga region, hasRiver, Black Drim]
-
A.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
B.
White Demon
White Demon is a formidable mythical monster from the Persian epic Shahnameh, best known as the fearsome adversary slain by the hero Rostam.
-
C.
Blinde Rot
Blinde Rot is a river in Germany that serves as one of the tributaries feeding into the Kocher River.
-
D.
The Crazed
"The Crazed" is a novel by Chinese-American author Ha Jin that explores the psychological and political turmoil of post-Cultural Revolution China through a graduate student's relationship with his ailing mentor.
-
E.
Black Regen
Black Regen is a river in Bavaria, Germany, known as one of the main headstreams that form the Regen River.
- 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: Black Drim Triple: [Struga region, hasRiver, Black Drim]
Generated description
Black Drim is a major river in the Balkans that flows from Lake Ohrid through North Macedonia and Albania before joining the White Drin to form the Drin River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Drim Target entity description: Black Drim is a major river in the Balkans that flows from Lake Ohrid through North Macedonia and Albania before joining the White Drin to form the Drin River.
-
A.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
B.
White Demon
White Demon is a formidable mythical monster from the Persian epic Shahnameh, best known as the fearsome adversary slain by the hero Rostam.
-
C.
Blinde Rot
Blinde Rot is a river in Germany that serves as one of the tributaries feeding into the Kocher River.
-
D.
The Crazed
"The Crazed" is a novel by Chinese-American author Ha Jin that explores the psychological and political turmoil of post-Cultural Revolution China through a graduate student's relationship with his ailing mentor.
-
E.
Black Regen
Black Regen is a river in Bavaria, Germany, known as one of the main headstreams that form the Regen River.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e536e5c8190bef31ab979d2880a |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005832bcb48190a905ee7c9bff2c5b |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059126e588190b531c145f3c155b4 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059b5a1f8819089caefc121246739 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:14 a.m.