Triple

T7854306
Position Surface form Disambiguated ID Type / Status
Subject Taian E182132 entity
Predicate hasRiver P165 FINISHED
Object Wen River
The Wen River is a river in Shandong Province, China, that flows through the city of Tai'an and contributes to the region’s agriculture and water resources.
 E727194 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: Wen River | Statement: [Taian, hasRiver, Wen River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wen River
Context triple: [Taian, hasRiver, Wen River]
  • A. Yuan River
    The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
  • B. Lei River
    The Lei River is a significant river in southern China that flows through Hunan Province and serves as an important waterway within the Xiang River system.
  • C. Chu River
    The Chu River is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • D. Ruo River
    The Ruo River is a significant river in southeastern Africa that flows along part of the Malawi–Mozambique border before joining the Shire River.
  • E. Cao River
    The Cao River is a waterway flowing through Qingpu District in Shanghai, China, contributing to the region’s local drainage and landscape.
  • 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: Wen River
Triple: [Taian, hasRiver, Wen River]
Generated description
The Wen River is a river in Shandong Province, China, that flows through the city of Tai'an and contributes to the region’s agriculture and water resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wen River
Target entity description: The Wen River is a river in Shandong Province, China, that flows through the city of Tai'an and contributes to the region’s agriculture and water resources.
  • A. Yuan River
    The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
  • B. Lei River
    The Lei River is a significant river in southern China that flows through Hunan Province and serves as an important waterway within the Xiang River system.
  • C. Chu River
    The Chu River is a major river in Central Asia that flows through Kyrgyzstan and Kazakhstan, playing an important role in regional agriculture and water supply.
  • D. Ruo River
    The Ruo River is a significant river in southeastern Africa that flows along part of the Malawi–Mozambique border before joining the Shire River.
  • E. Cao River
    The Cao River is a waterway flowing through Qingpu District in Shanghai, China, contributing to the region’s local drainage and landscape.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc622b1d08190b8d840a58712ef3b completed April 2, 2026, 1:28 a.m.
NEDg Description generation batch_69cdcb8cbd3c8190b467ecbcf55231e9 completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdccff097c819099a33612504468e1 completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 4:51 p.m.