Triple
T21828262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chay River |
E538913
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Sông Chảy
Sông Chảy is a river in northern Vietnam known for flowing through mountainous terrain and contributing to the region’s hydropower and agriculture.
|
E1504210
|
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: Sông Chảy | Statement: [Chay River, hasNameInLanguage, Sông Chảy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sông Chảy Context triple: [Chay River, hasNameInLanguage, Sông Chảy]
-
A.
Days River
Days River is a river in Michigan’s Upper Peninsula that flows into Little Bay de Noc on Lake Michigan.
-
B.
Đà River
The Đà River is a major river in northwestern Vietnam, known for feeding the Hòa Bình hydropower plant and contributing significantly to the Red River system.
-
C.
You River
The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
-
D.
Or River
The Or River is a waterway in Russia and Kazakhstan that flows through the southern Ural region before joining the Ural River.
-
E.
Gianh River
The Gianh River is a historically significant river in central Vietnam, known as a former boundary between northern and southern regions of the country.
- 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: Sông Chảy Triple: [Chay River, hasNameInLanguage, Sông Chảy]
Generated description
Sông Chảy is a river in northern Vietnam known for flowing through mountainous terrain and contributing to the region’s hydropower and agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sông Chảy Target entity description: Sông Chảy is a river in northern Vietnam known for flowing through mountainous terrain and contributing to the region’s hydropower and agriculture.
-
A.
Days River
Days River is a river in Michigan’s Upper Peninsula that flows into Little Bay de Noc on Lake Michigan.
-
B.
Đà River
The Đà River is a major river in northwestern Vietnam, known for feeding the Hòa Bình hydropower plant and contributing significantly to the Red River system.
-
C.
Or River
The Or River is a waterway in Russia and Kazakhstan that flows through the southern Ural region before joining the Ural River.
-
D.
You River
The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
-
E.
Gianh River
The Gianh River is a historically significant river in central Vietnam, known as a former boundary between northern and southern regions of the country.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f09133718081909faa67c3721aed52 |
completed | April 28, 2026, 10:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45e717e4819096ee1b2a1341a0d9 |
completed | May 17, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_6a0a46c771348190aa1fa8b3b8fcac3f |
completed | May 17, 2026, 10:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a47bf44c881908504b2537649adf6 |
completed | May 17, 2026, 10:57 p.m. |
Created at: April 16, 2026, 6:54 p.m.