Triple

T5945872
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 2 E132276 entity
Predicate servesDistrict P82 FINISHED
Object Wuchang
Wuchang is a historic district of Wuhan, China, known for its cultural heritage, universities, and role in the 1911 Revolution.
 E1680 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: Wuchang | Statement: [Wuhan Metro Line 2, servesDistrict, Wuchang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wuchang
Context triple: [Wuhan Metro Line 2, servesDistrict, Wuchang]
  • A. Wuhan
    Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
  • B. Huangshi
    Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
  • C. Huangzhou
    Huangzhou is the central urban district and administrative heart of Huanggang in Hubei Province, China.
  • D. Zhongdu
    Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
  • E. Ezhou
    Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
  • 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: Wuchang
Triple: [Wuhan Metro Line 2, servesDistrict, Wuchang]
Generated description
Wuchang is a historic district of Wuhan, China, known for its cultural heritage, universities, and role in the 1911 Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wuchang
Target entity description: Wuchang is a historic district of Wuhan, China, known for its cultural heritage, universities, and role in the 1911 Revolution.
  • A. Wuhan chosen
    Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
  • B. Huangshi
    Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
  • C. Huangzhou
    Huangzhou is the central urban district and administrative heart of Huanggang in Hubei Province, China.
  • D. Zhongdu
    Zhongdu was the historical capital city of the Jurchen-led Jin dynasty in northern China, located in what is now part of modern Beijing.
  • E. Ezhou
    Ezhou is a prefecture-level city in eastern Hubei Province, China, known for its location along the Yangtze River and its growing role as a regional transportation and industrial hub.
  • F. None of above.

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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393a10448190b0960f4487e87448 completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cc81b3081908a35c4230eba3f06 completed March 23, 2026, 10:58 a.m.
NEDg Description generation batch_69c11d9102648190a61e9a85ead0fff4 completed March 23, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69c11e76f5c48190adabb10472729cb2 completed March 23, 2026, 11:05 a.m.
Created at: March 22, 2026, 4:01 p.m.