Triple

T9692508
Position Surface form Disambiguated ID Type / Status
Subject Ancient China E234568 entity
Predicate hasCapital P204 FINISHED
Object Xianyang
Xianyang was the capital city of the Qin dynasty and a major political and cultural center in ancient China.
E819185 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: Xianyang | Statement: [Ancient China, hasCapital, Xianyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xianyang
Context triple: [Ancient China, hasCapital, Xianyang]
  • A. Baoji
    Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
  • B. Tongchuan
    Tongchuan is a prefecture-level city in central Shaanxi Province, China, historically known for its coal mining industry and location on the Loess Plateau.
  • C. Xi An'an
    Xi An'an is a member of the prominent Xi political family in China and a daughter of revolutionary leader Xi Zhongxun.
  • D. Xi'an
    Xi'an is a major historic city in central China, famed as the eastern terminus of the Silk Road and home to the Terracotta Army of Emperor Qin Shi Huang.
  • E. Hanzhong
    Hanzhong is a historic prefecture-level city in southwestern Shaanxi, China, known as a key gateway between northern and southern China and for its rich cultural and natural landscapes.
  • 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: Xianyang
Triple: [Ancient China, hasCapital, Xianyang]
Generated description
Xianyang was the capital city of the Qin dynasty and a major political and cultural center in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xianyang
Target entity description: Xianyang was the capital city of the Qin dynasty and a major political and cultural center in ancient China.
  • A. Baoji
    Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
  • B. Tongchuan
    Tongchuan is a prefecture-level city in central Shaanxi Province, China, historically known for its coal mining industry and location on the Loess Plateau.
  • C. Xi An'an
    Xi An'an is a member of the prominent Xi political family in China and a daughter of revolutionary leader Xi Zhongxun.
  • D. Xi'an
    Xi'an is a major historic city in central China, famed as the eastern terminus of the Silk Road and home to the Terracotta Army of Emperor Qin Shi Huang.
  • E. Hanzhong
    Hanzhong is a historic prefecture-level city in southwestern Shaanxi, China, known as a key gateway between northern and southern China and for its rich cultural and natural landscapes.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d05d70c8190b1ddcd24b50b4f50 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcbbe0108190a7011d52ba24ba4b completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1bdbddb7c81909b941d935e925ce5 completed April 5, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_69d1be0ccc6081908bf3ef8db3c8b591 completed April 5, 2026, 1:42 a.m.
Created at: March 30, 2026, 8:17 p.m.