Triple

T1453179
Position Surface form Disambiguated ID Type / Status
Subject Tianjin E31338 entity
Predicate river P165 FINISHED
Object Hai River E69706 NE FINISHED

How this triple was built (2 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: Hai River | Statement: [Tianjin, river, Hai River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hai River
Context triple: [Tianjin, river, Hai River]
  • A. Hai River chosen
    The Hai River is a major river system in northern China that flows through the Beijing–Tianjin region into the Bohai Sea, playing a crucial role in regional water supply, agriculture, and transportation.
  • B. Zi River
    The Zi River is a major river in south-central China that flows through Hunan Province and is one of the important tributaries of the Yangtze 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. Liu River
    The Liu River is a significant river in the Guangxi Zhuang Autonomous Region of southern China, known for flowing through the industrial city of Liuzhou and contributing to the region’s transportation and economy.
  • E. Yuan River
    The Yuan River is a major waterway in south-central China that flows through several provinces before joining the Yangtze River system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69add1a428b88190a79a669ca6b73671 completed March 8, 2026, 7:44 p.m.
Created at: March 1, 2026, 8 p.m.