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.