Triple

T38661424
Position Surface form Disambiguated ID Type / Status
Subject Xie Jun E940343 entity
Predicate memberOf P10 FINISHED
Object Chinese national chess team
The Chinese national chess team is the official squad representing China in international chess competitions, renowned for producing multiple world champions and dominating global team events.
 E2280659 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: Chinese national chess team | Statement: [Xie Jun, memberOf, Chinese national chess team]
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: Chinese national chess team
Triple: [Xie Jun, memberOf, Chinese national chess team]
Generated description
The Chinese national chess team is the official squad representing China in international chess competitions, renowned for producing multiple world champions and dominating global team events.

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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdbed4a188190ab656f262022fe68 completed May 7, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd65308481909487b4b8ca280704 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fed2530c8190b57d2bc1cc2e75c9 completed June 29, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff5fae24819089ccf1dff50e867c completed June 29, 2026, 5:15 a.m.
Created at: May 3, 2026, 4:33 p.m.