Triple

T7947595
Position Surface form Disambiguated ID Type / Status
Subject Liu Bei E184534 entity
Predicate templeName P44027 FINISHED
Object Liezu
Liezu is the honorific temple name bestowed upon Liu Bei, the founding emperor of the Shu Han state during China’s Three Kingdoms period.
 E710005 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: Liezu | Statement: [Liu Bei, templeName, Liezu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liezu
Context triple: [Liu Bei, templeName, Liezu]
  • A. Oppeln
    Oppeln is the historical German name for the city of Opole, a major cultural and administrative center in southwestern Poland’s Silesia region.
  • B. Görlitz
    Görlitz is a historic city in eastern Germany on the Lusatian Neisse River, known for its well-preserved old town and role as a popular film location.
  • C. Frankfurt (Oder)
    Frankfurt (Oder) is a German city on the Oder River at the Polish border, known as a historic university and trade center in the state of Brandenburg.
  • D. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • E. Breslau
    Breslau is the historical German name for the city now known as Wrocław in southwestern Poland, a major cultural and academic center in Central Europe.
  • 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: Liezu
Triple: [Liu Bei, templeName, Liezu]
Generated description
Liezu is the honorific temple name bestowed upon Liu Bei, the founding emperor of the Shu Han state during China’s Three Kingdoms period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liezu
Target entity description: Liezu is the honorific temple name bestowed upon Liu Bei, the founding emperor of the Shu Han state during China’s Three Kingdoms period.
  • A. Oppeln
    Oppeln is the historical German name for the city of Opole, a major cultural and administrative center in southwestern Poland’s Silesia region.
  • B. Görlitz
    Görlitz is a historic city in eastern Germany on the Lusatian Neisse River, known for its well-preserved old town and role as a popular film location.
  • C. Frankfurt (Oder)
    Frankfurt (Oder) is a German city on the Oder River at the Polish border, known as a historic university and trade center in the state of Brandenburg.
  • D. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • E. Breslau
    Breslau is the historical German name for the city now known as Wrocław in southwestern Poland, a major cultural and academic center in Central Europe.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2abdbc819085ae53826d36af3b completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ad5fbc819082f7900cd618bd0e completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc67a1ff988190b466317388d86747 completed April 1, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69cc68dbfe688190829e46d5d3748b87 completed April 1, 2026, 12:37 a.m.
Created at: March 30, 2026, 5:09 p.m.