Triple

T3687151
Position Surface form Disambiguated ID Type / Status
Subject Chongzhen Emperor E78251 entity
Predicate templeName P44027 FINISHED
Object Sizong
Sizong is the temple name of the Chongzhen Emperor, the last ruler of China’s Ming dynasty.
 E380363 NE FINISHED

How this triple was built (4 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: Sizong | Statement: [Chongzhen Emperor, templeName, Sizong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sizong
Context triple: [Chongzhen Emperor, templeName, Sizong]
  • A. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • B. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • C. Selebobo
    Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
  • D. Silozi
    Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
  • E. Sanglechi
    Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sizong
Triple: [Chongzhen Emperor, templeName, Sizong]
Generated description
Sizong is the temple name of the Chongzhen Emperor, the last ruler of China’s Ming dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sizong
Target entity description: Sizong is the temple name of the Chongzhen Emperor, the last ruler of China’s Ming dynasty.
  • A. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • B. Mongu
    Mongu is a town in western Zambia that serves as the administrative and cultural center of the Lozi people and a key hub near the Zambezi River’s Barotse Floodplain.
  • C. Selebobo
    Selebobo is a Nigerian singer, songwriter, and record producer known for his work in contemporary Afropop and collaborations with prominent African artists.
  • D. Silozi
    Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
  • E. Sanglechi
    Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
  • F. None of above. chosen

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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c7e2bc81909356c8b0ed90feed completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c10f6481908feed99cddc56d47 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c7bd861c8190a1a7887f6d7fd6de completed March 14, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69b4c83085488190a48c6e4786d275e2 completed March 14, 2026, 2:30 a.m.
Created at: March 8, 2026, 3:26 p.m.