Triple

T1207221
Position Surface form Disambiguated ID Type / Status
Subject Xi'an E25916 entity
Predicate formerName P65 FINISHED
Object Xijing
Xijing is the historical name of Xi'an, one of China’s oldest and most important ancient capitals.
 E137853 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: Xijing | Statement: [Xi'an, formerName, Xijing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xijing
Context triple: [Xi'an, formerName, Xijing]
  • A. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Dabie Mountains
    The Dabie Mountains are a major mountain range in central China that form a natural boundary between the provinces of Anhui, Hubei, and Henan.
  • D. Cathaya
    Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
  • E. Taihang Mountains
    The Taihang Mountains are a major mountain range in northern China, forming a natural boundary between the Loess Plateau and the North China Plain and known for their steep cliffs and scenic gorges.
  • 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: Xijing
Triple: [Xi'an, formerName, Xijing]
Generated description
Xijing is the historical name of Xi'an, one of China’s oldest and most important ancient capitals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xijing
Target entity description: Xijing is the historical name of Xi'an, one of China’s oldest and most important ancient capitals.
  • A. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Dabie Mountains
    The Dabie Mountains are a major mountain range in central China that form a natural boundary between the provinces of Anhui, Hubei, and Henan.
  • D. Cathaya
    Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
  • E. Taihang Mountains
    The Taihang Mountains are a major mountain range in northern China, forming a natural boundary between the Loess Plateau and the North China Plain and known for their steep cliffs and scenic gorges.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3f4c508190bdc3d436d393daf9 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fc59a488190adbdf156aaff8c03 completed March 7, 2026, 7:43 p.m.
NED2 Entity disambiguation (via description) batch_69ac806a6d748190acc5cdfa8fb90a64 completed March 7, 2026, 7:45 p.m.
Created at: March 1, 2026, 7:46 p.m.