Triple

T28092928
Position Surface form Disambiguated ID Type / Status
Subject Cao Zhi E710004 entity
Predicate presentDayLocationOfBirthPlace P65398 FINISHED
Object Bozhou, Anhui
Bozhou, Anhui is a historic city in eastern China renowned as the birthplace of the famed Three Kingdoms poet and prince Cao Zhi and for its long-standing cultural and medicinal heritage.
 E1969112 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: Bozhou, Anhui | Statement: [Cao Zhi, presentDayLocationOfBirthPlace, Bozhou, Anhui]
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: Bozhou, Anhui
Triple: [Cao Zhi, presentDayLocationOfBirthPlace, Bozhou, Anhui]
Generated description
Bozhou, Anhui is a historic city in eastern China renowned as the birthplace of the famed Three Kingdoms poet and prince Cao Zhi and for its long-standing cultural and medicinal heritage.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: presentDayLocationOfBirthPlace
Context triple: [Cao Zhi, presentDayLocationOfBirthPlace, Bozhou, Anhui]
  • A. presentDayLocationOfBirthplace chosen
    Indicates the current geographic location corresponding to the place where an entity was born.
  • B. placeOfBirth
    Indicates the location where a person or other entity was born.
  • C. birthPlaceAccordingTo
    Indicates that an entity’s place of birth is given as a specific location according to a particular source or authority.
  • D. namedAfterBirthPlace
    Indicates that an entity is given a name derived from or based on the place where it was born.
  • E. creatorPlaceOfBirth
    Indicates that the place specified is the location where the creator of an entity was born.
  • F. None of above.

Provenance (6 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_69ef9b70fd108190a875953b2e50ca91 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6d0d46aec819091edf97324d793ac completed May 3, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b560e2e5481908a5112fcb3d5905b completed June 12, 2026, 12:42 a.m.
NEDg Description generation batch_6a2b5740b1e88190af5cf79a09800fc8 completed June 12, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a2b5a4b8a9c8190a33f1916d94b808f completed June 12, 2026, 1 a.m.
PD Predicate disambiguation batch_69f6cfe2183481908ae4e85a59c66f69 completed May 3, 2026, 4:32 a.m.
Created at: April 27, 2026, 8:59 p.m.