Triple

T1768700
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro E38822 entity
Predicate hasLine P35 FINISHED
Object Line 12
Line 12 is a rapid transit line of the Shanghai Metro system that runs east–west across the city, connecting several key commercial and residential districts.
 E203681 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 12 | Statement: [Shanghai Metro, hasLine, Line 12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 12
Context triple: [Shanghai Metro, hasLine, Line 12]
  • A. Line 12
    Line 12 is a major Mexico City Metro route known for being one of the system’s newest and most modern lines, connecting southeastern districts across a long east–west corridor.
  • B. Line 13
    Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
  • C. Line 13
    Line 13 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • D. Line 14
    Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
  • E. Line 14
    Line 14 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed, longer-distance urban rail 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 12
Triple: [Shanghai Metro, hasLine, Line 12]
Generated description
Line 12 is a rapid transit line of the Shanghai Metro system that runs east–west across the city, connecting several key commercial and residential districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 12
Target entity description: Line 12 is a rapid transit line of the Shanghai Metro system that runs east–west across the city, connecting several key commercial and residential districts.
  • A. Line 12
    Line 12 is a major Mexico City Metro route known for being one of the system’s newest and most modern lines, connecting southeastern districts across a long east–west corridor.
  • B. Line 13
    Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
  • C. Line 13
    Line 13 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • D. Line 14
    Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
  • E. Line 14
    Line 14 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed, longer-distance urban rail service.
  • 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_69adbf4db1c48190a96f137db3e2f32c completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0a3fdd88190b0ffa98db1b5cf80 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc12c894881909c9a82fc9e363a41 completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:31 p.m.