Triple

T3618558
Position Surface form Disambiguated ID Type / Status
Subject Changde E76664 entity
Predicate formerName P65 FINISHED
Object Wuling
Wuling is the historical name of a region in Hunan, China, that later became known as Changde.
 E373509 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: Wuling | Statement: [Changde, formerName, Wuling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wuling
Context triple: [Changde, formerName, Wuling]
  • A. Wuling
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • B. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • C. Jinling
    Jinling is an ancient name for the Chinese city now known as Nanjing, historically renowned as a major political and cultural center.
  • D. Jiangling
    Jiangling was an important ancient Chinese city that served as a major political and cultural center of the State of Chu during the Zhou dynasty period.
  • E. Weihan
    Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
  • 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: Wuling
Triple: [Changde, formerName, Wuling]
Generated description
Wuling is the historical name of a region in Hunan, China, that later became known as Changde.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wuling
Target entity description: Wuling is the historical name of a region in Hunan, China, that later became known as Changde.
  • A. Wuling
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • B. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • C. Jinling
    Jinling is an ancient name for the Chinese city now known as Nanjing, historically renowned as a major political and cultural center.
  • D. Jiangling
    Jiangling was an important ancient Chinese city that served as a major political and cultural center of the State of Chu during the Zhou dynasty period.
  • E. Weihan
    Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b72b3481909f4a09000d1815d9 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331cc73881908033d001448f0b23 completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b436ac70a481909a623841b836e1a7 completed March 13, 2026, 4:09 p.m.
NED2 Entity disambiguation (via description) batch_69b43731d4708190abd41b28889c4c88 completed March 13, 2026, 4:11 p.m.
Created at: March 8, 2026, 3:23 p.m.