Triple

T13903343
Position Surface form Disambiguated ID Type / Status
Subject Hangzhou Metro E334282 entity
Predicate hasLine P35 FINISHED
Object Line 9
Line 9 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's urban rail network.
 E1072046 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 9 | Statement: [Hangzhou Metro, hasLine, Line 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 9
Context triple: [Hangzhou Metro, hasLine, Line 9]
  • A. Line 9
    Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
  • B. Line 9
    Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
  • C. Line 9
    Line 9 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's expanding urban rail network.
  • D. Line 9
    Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
  • E. Line 9
    Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
  • 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 9
Triple: [Hangzhou Metro, hasLine, Line 9]
Generated description
Line 9 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's urban rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 9
Target entity description: Line 9 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's urban rail network.
  • A. Line 9
    Line 9 is a rapid transit line of the Chongqing Metro system in Chongqing, China, serving as part of the city's expanding urban rail network.
  • B. Line 9
    Line 9 is a rapid transit line of the Beijing Subway system that serves as part of the city's urban rail network.
  • C. Line 9
    Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
  • D. Line 9
    Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
  • E. Line 9
    Line 9 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving several key districts in 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c26ba08190b19560123691fda4 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba7b0b1e081909b7c1e5ffefc2cc2 completed May 6, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_69fba8585fb08190998d6a005dc0bd31 completed May 6, 2026, 8:45 p.m.
Created at: April 9, 2026, 10:16 p.m.