Triple

T14581786
Position Surface form Disambiguated ID Type / Status
Subject Sihui E342209 entity
Predicate adjacentStationOnLine1 P5707 FINISHED
Object Sihui East
Sihui East is a Beijing Subway station that serves as a key interchange and eastern terminus for major metro lines in the city.
 E342209 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: Sihui East | Statement: [Sihui, adjacentStationOnLine1, Sihui East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sihui East
Context triple: [Sihui, adjacentStationOnLine1, Sihui East]
  • A. Sihui
    Sihui is a major Beijing Subway station in eastern Beijing that serves as a key interchange and endpoint for multiple metro lines.
  • B. Dexing
    Dexing is a county-level city in northeastern Jiangxi Province, China, administered by the prefecture-level city of Shangrao and known for its rich mineral resources.
  • C. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • D. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • E. Shicheng
    Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
  • 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: Sihui East
Triple: [Sihui, adjacentStationOnLine1, Sihui East]
Generated description
Sihui East is a Beijing Subway station that serves as a key interchange and eastern terminus for major metro lines in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sihui East
Target entity description: Sihui East is a Beijing Subway station that serves as a key interchange and eastern terminus for major metro lines in the city.
  • A. Sihui chosen
    Sihui is a major Beijing Subway station in eastern Beijing that serves as a key interchange and endpoint for multiple metro lines.
  • B. Dexing
    Dexing is a county-level city in northeastern Jiangxi Province, China, administered by the prefecture-level city of Shangrao and known for its rich mineral resources.
  • C. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • D. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • E. Shicheng
    Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ba235c81909e0408ccf2be9628 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd9619f33881908e8d95ef09256d34 completed May 8, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69fd96e97ec48190aae9b25ce7154802 completed May 8, 2026, 7:55 a.m.
Created at: April 10, 2026, 1:24 a.m.