Triple

T1650413
Position Surface form Disambiguated ID Type / Status
Subject Guangzhou Metro E35677 entity
Predicate hasLine P35 FINISHED
Object Line 21
Line 21 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed urban rail service.
 E190887 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 21 | Statement: [Guangzhou Metro, hasLine, Line 21]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 21
Context triple: [Guangzhou Metro, hasLine, Line 21]
  • A. Line 19
    Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
  • B. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • C. Line 17
    Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
  • D. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • E. Line 15
    Line 15 is a rapid transit line of the Beijing Subway system serving northern parts of the city with both urban and suburban 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 21
Triple: [Guangzhou Metro, hasLine, Line 21]
Generated description
Line 21 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed urban rail service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 21
Target entity description: Line 21 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed urban rail service.
  • A. Line 19
    Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
  • B. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • C. Line 17
    Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
  • D. Line 16
    Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
  • E. Line 15
    Line 15 is a rapid transit line of the Beijing Subway system serving northern parts of the city with both urban and suburban stations.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a66b58c819082d38ef1c805cf44 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79847cbc8190be99c66424034bce completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7a1223fc8190b7d62217c17f7517 completed March 8, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69ad7b0787c88190a59a815fa808ac6b completed March 8, 2026, 1:35 p.m.
Created at: March 4, 2026, 7:29 p.m.