Triple

T3317051
Position Surface form Disambiguated ID Type / Status
Subject Hai River E69706 entity
Predicate formedByConfluenceOf P402 FINISHED
Object Ziya River
The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
 E420752 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: Ziya River | Statement: [Hai River, formedByConfluenceOf, Ziya River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ziya River
Context triple: [Hai River, formedByConfluenceOf, Ziya River]
  • A. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • B. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • C. Leysse River
    The Leysse River is a watercourse in the Savoie region of southeastern France that flows through Chambéry before emptying into Lake Bourget.
  • D. Turka River
    The Turka River is a Siberian river that flows into Lake Baikal, contributing to the lake’s freshwater inflow system.
  • E. Kunhar River
    The Kunhar River is a scenic mountain river in northern Pakistan that flows through the Kaghan Valley before joining the Jhelum River.
  • 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: Ziya River
Triple: [Hai River, formedByConfluenceOf, Ziya River]
Generated description
The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ziya River
Target entity description: The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
  • A. Kilmez River
    The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
  • B. Keles River
    The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
  • C. Leysse River
    The Leysse River is a watercourse in the Savoie region of southeastern France that flows through Chambéry before emptying into Lake Bourget.
  • D. Turka River
    The Turka River is a Siberian river that flows into Lake Baikal, contributing to the lake’s freshwater inflow system.
  • E. Kunhar River
    The Kunhar River is a scenic mountain river in northern Pakistan that flows through the Kaghan Valley before joining the Jhelum River.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb11230b881908f5b554323729cc5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589b1574c8190a7cd897febdbdbe5 completed March 14, 2026, 4:15 p.m.
NEDg Description generation batch_69b58df59b3081909c0654334c37c8df completed March 14, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_69b58e44bf8081909933afb1482723e7 completed March 14, 2026, 4:35 p.m.
Created at: March 8, 2026, 3:11 p.m.