Triple

T14887072
Position Surface form Disambiguated ID Type / Status
Subject Chaoyangmen station E359654 entity
Predicate isInterchangeStationFor P15892 FINISHED
Object Line 6
Line 6 is a major east–west subway line in the Beijing Subway system, serving as one of the network’s key high-capacity trunk routes.
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: [Chaoyangmen station, isInterchangeStationFor, Line 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 6
Context triple: [Chaoyangmen station, isInterchangeStationFor, 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: [Chaoyangmen station, isInterchangeStationFor, Line 6]
Generated description
Line 6 is a major east–west subway line in the Beijing Subway system, serving as one of the network’s key high-capacity trunk routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 6
Target entity description: Line 6 is a major east–west subway line in the Beijing Subway system, serving as one of the network’s key high-capacity trunk routes.
  • 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 major north–south route of the Tehran Metro system, serving numerous key districts across Iran’s capital city.
  • C. Line 6
    Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
  • D. 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.
  • E. Line 6
    Line 6 is a route of Mexico City’s Metrobús bus rapid transit system that serves as one of the network’s main corridors.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72aedae081909616f4aca3a44c92 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe73ee0da48190b8909009e0dc517b completed May 8, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe748da7948190b7253b9dc09ae9fa completed May 8, 2026, 11:41 p.m.
Created at: April 10, 2026, 2:07 a.m.