Triple

T27848213
Position Surface form Disambiguated ID Type / Status
Subject Chen Bridge Mutiny E703881 entity
Predicate ChineseName P744 FINISHED
Object 陳橋兵變
陳橋兵變是公元960年趙匡胤在陳橋驛發動的兵變事件，最終推翻後周、建立北宋王朝。
 E1792774 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: 陳橋兵變 | Statement: [Chen Bridge Mutiny, ChineseName, 陳橋兵變]
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: 陳橋兵變
Triple: [Chen Bridge Mutiny, ChineseName, 陳橋兵變]
Generated description
陳橋兵變是公元960年趙匡胤在陳橋驛發動的兵變事件，最終推翻後周、建立北宋王朝。

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_69ef840d9e3c819093615ebff4ec22be completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63902f71c8190b26ac186ad00acbf completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f73989c881909284c77eec14d780 completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12fb4a4a808190bc0821b2bc754da0 completed May 24, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12fd21fb2c8190b52459bd901c05a0 completed May 24, 2026, 1:29 p.m.
Created at: April 27, 2026, 6:08 p.m.