Triple
T8369427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi hydrological network |
E197416
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Lừ River
Lừ River is an urban waterway flowing through Hanoi, Vietnam, forming part of the city’s drainage and hydrological system.
|
E780432
|
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: Lừ River | Statement: [Hanoi hydrological network, hasPart, Lừ River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lừ River Context triple: [Hanoi hydrological network, hasPart, Lừ River]
-
A.
Kuitun River
The Kuitun River is a river in Xinjiang, China, that serves as one of the main tributaries feeding Ebinur Lake in the region’s arid northwest.
-
B.
Tuy River
The Tuy River is a significant river in northern Venezuela that flows through the Miranda state and supports nearby cities such as Ocumare del Tuy.
-
C.
Shinfa River
The Shinfa River is a tributary watercourse that feeds into the Atbara River in northeastern Africa.
-
D.
Tuo River
The Tuo River is a significant river in Sichuan Province, China, flowing through the Chengdu region and serving as an important tributary of the upper Yangtze River.
-
E.
Indong River
The Indong River is a watercourse in the Dooars region of West Bengal, India, that flows through and supports the ecosystem of Gorumara National Park.
- 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: Lừ River Triple: [Hanoi hydrological network, hasPart, Lừ River]
Generated description
Lừ River is an urban waterway flowing through Hanoi, Vietnam, forming part of the city’s drainage and hydrological system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lừ River Target entity description: Lừ River is an urban waterway flowing through Hanoi, Vietnam, forming part of the city’s drainage and hydrological system.
-
A.
Kuitun River
The Kuitun River is a river in Xinjiang, China, that serves as one of the main tributaries feeding Ebinur Lake in the region’s arid northwest.
-
B.
Tuy River
The Tuy River is a significant river in northern Venezuela that flows through the Miranda state and supports nearby cities such as Ocumare del Tuy.
-
C.
Shinfa River
The Shinfa River is a tributary watercourse that feeds into the Atbara River in northeastern Africa.
-
D.
Tuo River
The Tuo River is a significant river in Sichuan Province, China, flowing through the Chengdu region and serving as an important tributary of the upper Yangtze River.
-
E.
Indong River
The Indong River is a watercourse in the Dooars region of West Bengal, India, that flows through and supports the ecosystem of Gorumara National Park.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808f7c0481909fef5834cb6e7a3e |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d046efb42c8190b19c8ecd5efa8956 |
completed | April 3, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_69d04935d4e88190acb4d65a2dc2bc8a |
completed | April 3, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049e6c4cc81909e08b5aaed9a88dc |
completed | April 3, 2026, 11:14 p.m. |
Created at: March 30, 2026, 6:01 p.m.