Triple

T30636719
Position Surface form Disambiguated ID Type / Status
Subject CNC World E779860 entity
Predicate alternativeName P39 FINISHED
Object China Xinhua News Network Corporation World
China Xinhua News Network Corporation World is an English-language international news channel operated by China’s state-run Xinhua News Agency, aimed at providing global news from a Chinese perspective.
E1925846 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: China Xinhua News Network Corporation World | Statement: [CNC World, alternativeName, China Xinhua News Network Corporation World]
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: China Xinhua News Network Corporation World
Triple: [CNC World, alternativeName, China Xinhua News Network Corporation World]
Generated description
China Xinhua News Network Corporation World is an English-language international news channel operated by China’s state-run Xinhua News Agency, aimed at providing global news from a Chinese perspective.

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_69f224a50ebc81909b961a94c7f66b12 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a51b8d48190a00ac690761716ce completed May 2, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2870eb21b481908b1928198dbd3433 completed June 9, 2026, 8 p.m.
NEDg Description generation batch_6a2871dae4348190ae0c3b915ab12070 completed June 9, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_6a2872cdc6948190ab2904f009993934 completed June 9, 2026, 8:08 p.m.
Created at: April 29, 2026, 8:28 p.m.