Triple

T31251042
Position Surface form Disambiguated ID Type / Status
Subject Zhenyuan E796816 entity
Predicate successorEmperorEra P198460 FINISHED
Object Emperor Shunzong’s Yongzhen era
Emperor Shunzong’s Yongzhen era was a brief Tang dynasty reign period in 805 CE, notable for short-lived political reforms and its rapid succession by later emperors.
 E1953641 NE FINISHED

How this triple was built (3 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: Emperor Shunzong’s Yongzhen era | Statement: [Zhenyuan, successorEmperorEra, Emperor Shunzong’s Yongzhen era]
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: Emperor Shunzong’s Yongzhen era
Triple: [Zhenyuan, successorEmperorEra, Emperor Shunzong’s Yongzhen era]
Generated description
Emperor Shunzong’s Yongzhen era was a brief Tang dynasty reign period in 805 CE, notable for short-lived political reforms and its rapid succession by later emperors.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: successorEmperorEra
Context triple: [Zhenyuan, successorEmperorEra, Emperor Shunzong’s Yongzhen era]
  • A. successorEraRuler
    Indicates that one ruler directly succeeds another as the ruler of a given era or period.
  • B. eraOfEmperor
    Indicates the historical time period during which a particular emperor held power or reigned.
  • C. successorAsSeniorEmperor
    Indicates that one entity becomes the next holder of the position of senior emperor after another entity.
  • D. successorDynastyBecame
    Indicates that one dynasty replaced another and formally became its successor.
  • E. successorDynastyFoundedBy
    Indicates that the successor dynasty was established or founded by the referenced person or group.
  • F. None of above. chosen

Provenance (7 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_69f224dc84d0819081f1cb6f9127e6b1 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fee691952c8190822da83e46311d1d completed May 9, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296bf3c0248190955aee2429503155 completed June 10, 2026, 1:51 p.m.
NEDg Description generation batch_6a296cb1e32c8190b18c13dc2b08f057 completed June 10, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a299e78a4548190801cfcde07ebcaac completed June 10, 2026, 5:27 p.m.
PD Predicate disambiguation batch_69fee62f285c8190a625562a9b80526e completed May 9, 2026, 7:45 a.m.
PDg Predicate description generation batch_69fee690af688190a845310f102a0c83 completed May 9, 2026, 7:47 a.m.
Created at: April 29, 2026, 9:11 p.m.