Triple

T498584
Position Surface form Disambiguated ID Type / Status
Subject North China E10349 entity
Predicate containsMajorCity P316 FINISHED
Object Hohhot
Hohhot is the capital and largest city of Inner Mongolia in northern China, known as a regional center of politics, culture, and industry.
 E80543 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: Hohhot | Statement: [North China, containsMajorCity, Hohhot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hohhot
Context triple: [North China, containsMajorCity, Hohhot]
  • A. Ulaanbaatar
    Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
  • B. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • C. Lanzhou
    Lanzhou is a major city in northwestern China and the capital of Gansu Province, known historically as a key hub on the ancient Silk Road.
  • D. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • E. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • 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: Hohhot
Triple: [North China, containsMajorCity, Hohhot]
Generated description
Hohhot is the capital and largest city of Inner Mongolia in northern China, known as a regional center of politics, culture, and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hohhot
Target entity description: Hohhot is the capital and largest city of Inner Mongolia in northern China, known as a regional center of politics, culture, and industry.
  • A. Ulaanbaatar
    Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
  • B. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • C. Lanzhou
    Lanzhou is a major city in northwestern China and the capital of Gansu Province, known historically as a key hub on the ancient Silk Road.
  • D. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • E. Shenyang
    Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1183e988190bce70932a9678134 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a577891a148190ae1364191f7f63bb completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a57a2852c881909f5623847e2fd85d completed March 2, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69a57a82f3248190b3eced48edf7a4da completed March 2, 2026, 11:54 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.