Triple
T19579377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibao region |
E489945
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object |
Yuna River
The Yuna River is one of the principal rivers of the Dominican Republic, flowing through the fertile Cibao region and supporting agriculture, settlements, and local ecosystems.
|
E1388296
|
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: Yuna River | Statement: [Cibao region, hasMajorRiver, Yuna River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuna River Context triple: [Cibao region, hasMajorRiver, Yuna River]
-
A.
Yeong River
The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
-
B.
Namgang River
The Namgang River is a scenic waterway in South Korea known for flowing through Jinju and hosting the famous Jinju Namgang Yudeung (Lantern) Festival.
-
C.
Neryungri River
Neryungri River is a river in the Sakha Republic (Yakutia), Russia, that gives its name to the nearby mining town of Neryungri.
-
D.
Seoktan River
The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
-
E.
Soyang River
The Soyang River is a major river in northeastern South Korea, known for the Soyang Dam and its role in regional water supply, flood control, and recreation.
- 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: Yuna River Triple: [Cibao region, hasMajorRiver, Yuna River]
Generated description
The Yuna River is one of the principal rivers of the Dominican Republic, flowing through the fertile Cibao region and supporting agriculture, settlements, and local ecosystems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuna River Target entity description: The Yuna River is one of the principal rivers of the Dominican Republic, flowing through the fertile Cibao region and supporting agriculture, settlements, and local ecosystems.
-
A.
Yeong River
The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
-
B.
Namgang River
The Namgang River is a scenic waterway in South Korea known for flowing through Jinju and hosting the famous Jinju Namgang Yudeung (Lantern) Festival.
-
C.
Neryungri River
Neryungri River is a river in the Sakha Republic (Yakutia), Russia, that gives its name to the nearby mining town of Neryungri.
-
D.
Seoktan River
The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
-
E.
Soyang River
The Soyang River is a major river in northeastern South Korea, known for the Soyang Dam and its role in regional water supply, flood control, and recreation.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402763b8819099e535979f094f9d |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ed6fdc08190ab8a5fb430318ca1 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a07809e04108190ac1cdc3c15dabe1c |
completed | May 15, 2026, 8:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0780f798888190847de6b2951d879b |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:42 p.m.