Triple

T32116828
Position Surface form Disambiguated ID Type / Status
Subject Ili region E820258 entity
Predicate partOf P40 FINISHED
Object Qing frontier system
The Qing frontier system was the imperial Chinese administrative and military framework used to govern and control non-Han border regions such as Xinjiang, Mongolia, and Tibet through a mix of indirect rule, garrisons, and specialized institutions.
E1994281 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: Qing frontier system | Statement: [Ili region, partOf, Qing frontier system]
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: Qing frontier system
Triple: [Ili region, partOf, Qing frontier system]
Generated description
The Qing frontier system was the imperial Chinese administrative and military framework used to govern and control non-Han border regions such as Xinjiang, Mongolia, and Tibet through a mix of indirect rule, garrisons, and specialized institutions.

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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b908810c8190bd58d2d0eee21d40 completed May 3, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0129f324819087193d1541909ae1 completed June 14, 2026, 7:29 p.m.
NEDg Description generation batch_6a2f02c852b88190b59e9c4e5540f38d completed June 14, 2026, 7:36 p.m.
NED2 Entity disambiguation (via description) batch_6a2f06afadf88190a6602950d1a24865 completed June 14, 2026, 7:53 p.m.
Created at: May 1, 2026, 12:28 a.m.