Triple

T1768704
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro E38822 entity
Predicate hasLine P35 FINISHED
Object Line 16
Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
 E213363 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 16 | Statement: [Shanghai Metro, hasLine, Line 16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 16
Context triple: [Shanghai Metro, hasLine, Line 16]
  • A. 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.
  • 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 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.
  • E. Line 15
    Line 15 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • 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 16
Triple: [Shanghai Metro, hasLine, Line 16]
Generated description
Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 16
Target entity description: Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
  • A. 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.
  • 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 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.
  • E. Line 15
    Line 15 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • 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_69adeaceae088190a5ee93e6b46360cc completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb8a0a64819087e4505089e93093 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec6fcaac8190b43d0cd1aa613c95 completed March 8, 2026, 9:38 p.m.
Created at: March 4, 2026, 7:31 p.m.