Triple

T17006510
Position Surface form Disambiguated ID Type / Status
Subject State of Chen E412584 entity
Predicate capital P234 FINISHED
Object Wanqiu
Wanqiu was an ancient Chinese city that served as the political and administrative center of the State of Chen during the Zhou dynasty period.
E1244485 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: Wanqiu | Statement: [State of Chen, capital, Wanqiu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanqiu
Context triple: [State of Chen, capital, Wanqiu]
  • A. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • B. Quingey
    Quingey is a small commune in eastern France notable as the birthplace of Pope Calixtus II.
  • C. Zongtang
    Zongtang is the given name of Zuo Zongtang, a prominent 19th-century Qing dynasty statesman and military leader known in the West as General Tso.
  • D. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • E. Qitaihe
    Qitaihe is a small coal-mining city in northeastern China known for its rich mineral resources and location within Heilongjiang 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: Wanqiu
Triple: [State of Chen, capital, Wanqiu]
Generated description
Wanqiu was an ancient Chinese city that served as the political and administrative center of the State of Chen during the Zhou dynasty period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wanqiu
Target entity description: Wanqiu was an ancient Chinese city that served as the political and administrative center of the State of Chen during the Zhou dynasty period.
  • A. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • B. Quingey
    Quingey is a small commune in eastern France notable as the birthplace of Pope Calixtus II.
  • C. Zongtang
    Zongtang is the given name of Zuo Zongtang, a prominent 19th-century Qing dynasty statesman and military leader known in the West as General Tso.
  • D. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • E. Qitaihe
    Qitaihe is a small coal-mining city in northeastern China known for its rich mineral resources and location within Heilongjiang 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3831268819089286053a5acf653 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc2035848190bf299875d37c8ac7 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d7d03c8190943777f4eac956fd completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a01159a08b081908fc82adc7cca532a completed May 10, 2026, 11:32 p.m.
Created at: April 10, 2026, 5:32 a.m.