Triple

T23881300
Position Surface form Disambiguated ID Type / Status
Subject 辛丑条约 E600207 entity
Predicate 签订主体 P37021 FINISHED
Object 英、美、德、法、俄、日、意、奥、比、西、荷等十一国代表
英、美、德、法、俄、日、意、奥、比、西、荷等十一国代表是参与镇压义和团运动并在战后与清政府签订《辛丑条约》的列强外交代表团。
E140921 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: 英、美、德、法、俄、日、意、奥、比、西、荷等十一国代表 | Statement: [辛丑条约, 签订主体, 英、美、德、法、俄、日、意、奥、比、西、荷等十一国代表]
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: 英、美、德、法、俄、日、意、奥、比、西、荷等十一国代表
Triple: [辛丑条约, 签订主体, 英、美、德、法、俄、日、意、奥、比、西、荷等十一国代表]
Generated description
英、美、德、法、俄、日、意、奥、比、西、荷等十一国代表是参与镇压义和团运动并在战后与清政府签订《辛丑条约》的列强外交代表团。

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_69e295318e148190b9979d8fc02e168f completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cc05e4d48190864fc47bdffa4ca9 completed April 29, 2026, 9:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69cbe98c8190b75f239fb9ee225d completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d44a56081909fb094eade37e589 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e0619388190b88e0d10c5f46934 completed May 21, 2026, 8:41 p.m.
Created at: April 17, 2026, 8:24 p.m.