Triple

T1120341
Position Surface form Disambiguated ID Type / Status
Subject Wuhan E11195 entity
Predicate formedByMergerOf P77 FINISHED
Object Hankou
Hankou is a historic commercial and port district that now forms one of the three main urban cores of Wuhan in central China.
 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: Hankou | Statement: [Wuhan, formedByMergerOf, Hankou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hankou
Context triple: [Wuhan, formedByMergerOf, Hankou]
  • 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. Yichang
    Yichang is a key city in western Hubei, China, best known as the gateway to the Three Gorges region and the nearby Three Gorges Dam on the Yangtze River.
  • C. Xiangyang
    Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
  • D. Huangshi
    Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
  • E. Anqing
    Anqing is a prefecture-level city in southwestern Anhui Province, China, known historically as a regional political and military center along the Yangtze River.
  • 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: Hankou
Triple: [Wuhan, formedByMergerOf, Hankou]
Generated description
Hankou is a historic commercial and port district that now forms one of the three main urban cores of Wuhan in central China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hankou
Target entity description: Hankou is a historic commercial and port district that now forms one of the three main urban cores of Wuhan in central China.
  • 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. Yichang
    Yichang is a key city in western Hubei, China, best known as the gateway to the Three Gorges region and the nearby Three Gorges Dam on the Yangtze River.
  • C. Xiangyang
    Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
  • D. Huangshi
    Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
  • E. Anqing
    Anqing is a prefecture-level city in southwestern Anhui Province, China, known historically as a regional political and military center along the Yangtze River.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bbbca3348190a607ce147b2ae70e completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69addf1667908190bdcb6d200577418d completed March 8, 2026, 8:41 p.m.
NEDg Description generation batch_69ade0336d7881908f56b8dcb3577ef2 completed March 8, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69ade09cc6d08190b424022c877d42c1 completed March 8, 2026, 8:48 p.m.
Created at: March 1, 2026, 7:43 p.m.