Triple
T1351923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosi |
E28900
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Sun Kosi
The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
|
E155129
|
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: Sun Kosi | Statement: [Kosi, hasTributary, Sun Kosi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Kosi Context triple: [Kosi, hasTributary, Sun Kosi]
-
A.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
-
B.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
C.
Bongi
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
-
D.
Madikizela
Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
-
E.
Nomukhan
Nomukhan was a Mongol prince of the 13th century who played a role in the politics and military affairs of the early Yuan dynasty under his father Kublai Khan.
- 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: Sun Kosi Triple: [Kosi, hasTributary, Sun Kosi]
Generated description
The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sun Kosi Target entity description: The Sun Kosi is a major Himalayan river in Nepal, renowned for its long white-water rafting expeditions and as a key tributary of the Kosi river system.
-
A.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
-
B.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
C.
Bongi
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
-
D.
Madikizela
Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
-
E.
Nomukhan
Nomukhan was a Mongol prince of the 13th century who played a role in the politics and military affairs of the early Yuan dynasty under his father Kublai Khan.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26b1b4881908ae4b1b2c9b268a0 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce6a1dd48190b17ac5a7cf3ab933 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69acceac84748190bbf9dd9c9ba5561f |
completed | March 8, 2026, 1:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accf1778b081908936977cd9317774 |
completed | March 8, 2026, 1:21 a.m. |
Created at: March 1, 2026, 7:56 p.m.