Triple

T1768694
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro E38822 entity
Predicate hasLine P35 FINISHED
Object Line 6
Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
 E200074 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: [Shanghai Metro, hasLine, Line 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 6
Context triple: [Shanghai Metro, hasLine, Line 6]
  • A. 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.
  • B. Line 6
    Line 6 is a modern, fully automated metro line in the Santiago Metro system in Chile, known for its driverless trains and advanced safety features.
  • C. Line 6
    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.
  • D. Line 6
    Line 6 is a route of the Mexico City Metro system that runs east–west across the northern part of the city, connecting several residential and commercial areas.
  • E. 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.
  • 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: [Shanghai Metro, hasLine, Line 6]
Generated description
Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
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 Shanghai Metro system serving several districts along the city’s eastern side.
  • 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 major rapid transit route in the Beijing Subway system that runs east–west across the city, helping to relieve congestion on other central lines.
  • C. 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.
  • D. Line 6
    Line 6 is a major north–south route of the Tehran Metro system, serving numerous key districts across Iran’s capital city.
  • E. Line 6
    Line 6 is a modern, fully automated metro line in the Santiago Metro system in Chile, known for its driverless trains and advanced safety features.
  • F. None of above. chosen

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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648d9f2c8190aca4884648a69eb0 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada991564c81909ae00fdcb47f52af completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab0295b8819092cb51082337b97b completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaea83bfc8190a526d5f2bd460e4c completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.