Triple

T14307147
Position Surface form Disambiguated ID Type / Status
Subject Chegongzhuang station E354727 entity
Predicate servesLine P839 FINISHED
Object Line 6
Line 6 is a rapid transit line of the Beijing Subway system, running east–west across the city to provide high-capacity urban rail service.
E66116 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: Line 6 | Statement: [Chegongzhuang station, servesLine, Line 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 6
Context triple: [Chegongzhuang station, servesLine, Line 6]
  • A. Line 6
    Line 6 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving multiple urban districts with frequent subway service.
  • B. Line 6
    Line 6 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
  • C. Line 6
    Line 6 is a route of the Tunis Metro light rail network serving passengers within the Tunis metropolitan area.
  • D. Line 6
    Line 6 is one of the lines of the Paris Métro, known for its largely elevated route offering views of the city, including the Eiffel Tower.
  • E. Line 6
    Line 6 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's expanding urban rail network.
  • 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: Line 6
Triple: [Chegongzhuang station, servesLine, Line 6]
Generated description
Line 6 is a rapid transit line of the Beijing Subway system, running east–west across the city to provide high-capacity urban rail service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 6
Target entity description: Line 6 is a rapid transit line of the Beijing Subway system, running east–west across the city to provide high-capacity urban rail service.
  • A. Line 6 chosen
    Line 6 is a major rapid transit route in the Beijing Subway system that runs east–west across the city, helping to relieve congestion on other central lines.
  • B. Line 6
    Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
  • C. Line 6
    Line 6 is a rapid transit line of the Chongqing Rail Transit system in Chongqing, China, serving key urban districts with high-capacity metro service.
  • D. Line 6
    Line 6 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving multiple urban districts with frequent subway service.
  • E. Line 6
    Line 6 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving multiple districts across the city.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b156b0819083f2bd319deed1b6 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2c32648190bc8bb26d57df57f5 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3e3d3e2c81909945253c26e19cee completed May 8, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69fd3ebe4f008190aec72ed7e23c4cd4 completed May 8, 2026, 1:39 a.m.
Created at: April 10, 2026, 1:12 a.m.