Triple

T4200739
Position Surface form Disambiguated ID Type / Status
Subject Kunming E86057 entity
Predicate nickname P55 FINISHED
Object Spring City
Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
 E419036 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: Spring City | Statement: [Kunming, nickname, Spring City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spring City
Context triple: [Kunming, nickname, Spring City]
  • A. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • B. Metro City
    Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
  • C. Gate City
    Gate City is a commonly used nickname for Greensboro, North Carolina, reflecting its historic role as a major transportation and commercial hub.
  • D. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • E. River City
    River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
  • 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: Spring City
Triple: [Kunming, nickname, Spring City]
Generated description
Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spring City
Target entity description: Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
  • A. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • B. Metro City
    Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
  • C. Gate City
    Gate City is a commonly used nickname for Greensboro, North Carolina, reflecting its historic role as a major transportation and commercial hub.
  • D. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • E. River City
    River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0363bbb8819093f396afe91972e2 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a14eda88190aaca14644c3e041a completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58ae74ef481908a21ab5f649750e3 completed March 14, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69b58b7aad248190ac4f25fb424e9217 completed March 14, 2026, 4:23 p.m.
Created at: March 9, 2026, 3:49 p.m.