Triple
T317842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Sea |
E7745
|
entity |
| Predicate | receivesRiver |
P4359
|
FINISHED |
| Object |
Rioni
The Rioni is a major river in western Georgia that flows through the city of Kutaisi before emptying into the Black Sea.
|
E41107
|
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: Rioni | Statement: [Black Sea, receivesRiver, Rioni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rioni Context triple: [Black Sea, receivesRiver, Rioni]
-
A.
Rajon
Rajon is the given name of Rajon Rondo, an American former professional basketball point guard best known for his NBA championships with the Boston Celtics and Los Angeles Lakers.
-
B.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
C.
Suita
Suita is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub that hosted part of Expo '70 and is home to Osaka University’s main campus.
-
D.
Kitano-cho
Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
-
E.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
- 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: Rioni Triple: [Black Sea, receivesRiver, Rioni]
Generated description
The Rioni is a major river in western Georgia that flows through the city of Kutaisi before emptying into the Black Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rioni Target entity description: The Rioni is a major river in western Georgia that flows through the city of Kutaisi before emptying into the Black Sea.
-
A.
Rajon
Rajon is the given name of Rajon Rondo, an American former professional basketball point guard best known for his NBA championships with the Boston Celtics and Los Angeles Lakers.
-
B.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
C.
Suita
Suita is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub that hosted part of Expo '70 and is home to Osaka University’s main campus.
-
D.
Kitano-cho
Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
-
E.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea67b7588190be394a56498758b6 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8ba3304819099db7b60f2c83c8b |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c93ce2308190b2df5c939691a2ce |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ca020b7081909b54e311c173ef21 |
completed | March 1, 2026, 5:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.