Triple

T4542000
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Metro E107554 entity
Predicate hasLine P35 FINISHED
Object Line 12
Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
 E453364 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: [Shenzhen Metro, hasLine, Line 12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 12
Context triple: [Shenzhen 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 12
    Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
  • C. 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.
  • D. Line 13
    Line 13 is a major rapid transit route in the Shanghai Metro system that serves key urban districts and supports heavy commuter traffic across the city.
  • E. 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.
  • 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: [Shenzhen Metro, hasLine, Line 12]
Generated description
Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
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 Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
  • 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 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.
  • C. Line 12
    Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
  • D. 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.
  • E. Line 13
    Line 13 is a major rapid transit route in the Shanghai Metro system that serves key urban districts and supports heavy commuter traffic across the city.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d219d88190a67ada845323d7fb completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd38b19a481908b84b49436517387 completed March 20, 2026, 11:08 p.m.
NEDg Description generation batch_69bdd47b2740819089cd9a3713402499 completed March 20, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69bdd4d005a48190bb5049e9cc281011 completed March 20, 2026, 11:14 p.m.
Created at: March 20, 2026, 1:04 p.m.