Triple

T8392919
Position Surface form Disambiguated ID Type / Status
Subject Pu'er E197985 entity
Predicate formerName P65 FINISHED
Object Simao
Simao is the former name of Pu'er, a city in Yunnan Province, China, historically known for its tea trade.
 E730937 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: Simao | Statement: [Pu'er, formerName, Simao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Simao
Context triple: [Pu'er, formerName, Simao]
  • A. Sacha
    Sacha is a given name used in various cultures, often as a variant of Sasha and commonly serving as a diminutive of Alexander or Alexandra.
  • B. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • C. San Simon
    San Simon is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and proximity to major urban centers in Central Luzon.
  • D. Juanito
    Juanito is a character from John Steinbeck’s novella "The Girl of the Sea of Cortez," serving as part of the story’s intimate portrait of life and relationships in a small Gulf of California fishing community.
  • E. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • 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: Simao
Triple: [Pu'er, formerName, Simao]
Generated description
Simao is the former name of Pu'er, a city in Yunnan Province, China, historically known for its tea trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Simao
Target entity description: Simao is the former name of Pu'er, a city in Yunnan Province, China, historically known for its tea trade.
  • A. Sacha
    Sacha is a given name used in various cultures, often as a variant of Sasha and commonly serving as a diminutive of Alexander or Alexandra.
  • B. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • C. San Simon
    San Simon is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and proximity to major urban centers in Central Luzon.
  • D. Juanito
    Juanito is a character from John Steinbeck’s novella "The Girl of the Sea of Cortez," serving as part of the story’s intimate portrait of life and relationships in a small Gulf of California fishing community.
  • E. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8184788081909e9857afff629985 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde856a6548190b46e0d8e5cda381b completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.