Triple

T30192814
Position Surface form Disambiguated ID Type / Status
Subject Honghe River E767539 entity
Predicate languageName_Chinese P13426 FINISHED
Object 红河
红河是中国西南地区一条重要的跨境河流，上游发源于云南省，向南流入越南并注入北部湾。
 E1902989 NE FINISHED

How this triple was built (3 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: 红河 | Statement: [Honghe River, languageName_Chinese, 红河]
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: 红河
Triple: [Honghe River, languageName_Chinese, 红河]
Generated description
红河是中国西南地区一条重要的跨境河流，上游发源于云南省，向南流入越南并注入北部湾。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: languageName_Chinese
Context triple: [Honghe River, languageName_Chinese, 红河]
  • A. languageName chosen
    Indicates the specific name assigned to a language in the relationship.
  • B. nameInChinese
    Indicates that an entity has a specific written name or label expressed in the Chinese language.
  • C. countryNameInChinese
    Indicates the Chinese-language name used to refer to a given country.
  • D. hasEthnonymInChinese
    Indicates that an entity has a specific ethnonym (name for an ethnic group or people) expressed in the Chinese language.
  • E. traditionalLanguageName
    Indicates the name traditionally used in a particular language to refer to the subject entity.
  • F. None of above.

Provenance (6 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_69f2247db1108190835c0727c97637c3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fef8c3f2388190b995ec173512945a completed May 9, 2026, 9:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a27587433788190b0d9d67b9bd6a21c completed June 9, 2026, 12:04 a.m.
NEDg Description generation batch_6a275a7e7e78819088b7aef8057de369 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b67290c8190bb71f367c87d8e09 completed June 9, 2026, 12:16 a.m.
PD Predicate disambiguation batch_69fef65975608190960b78d27e806d4f completed May 9, 2026, 8:54 a.m.
Created at: April 29, 2026, 7:29 p.m.