Triple

T18807593
Position Surface form Disambiguated ID Type / Status
Subject SL metro E459919 entity
Predicate hasLine P35 FINISHED
Object Line 18
Line 18 is a route of the SL metro public transportation system, serving passengers along one of its designated corridors.
 E1351245 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 18 | Statement: [SL metro, hasLine, Line 18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 18
Context triple: [SL metro, hasLine, Line 18]
  • A. Line 18
    Line 18 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
  • B. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • C. Line 18
    Line 18 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • D. Line 18
    Line 18 is a planned automated metro line of the Grand Paris Express project designed to improve orbital transit and connect key suburbs around Paris.
  • E. 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.
  • 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 18
Triple: [SL metro, hasLine, Line 18]
Generated description
Line 18 is a route of the SL metro public transportation system, serving passengers along one of its designated corridors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 18
Target entity description: Line 18 is a route of the SL metro public transportation system, serving passengers along one of its designated corridors.
  • A. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • B. Line 18
    Line 18 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
  • C. Line 18
    Line 18 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
  • D. Line 18
    Line 18 is a planned automated metro line of the Grand Paris Express project designed to improve orbital transit and connect key suburbs around Paris.
  • E. 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.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d8ab9c819097834eac798ce810 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059faa52f08190afb0336426958b27 completed May 14, 2026, 10:10 a.m.
NEDg Description generation batch_6a05a18b9bf08190b3508ed116cb19c1 completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1e4c6e881908bac1fa9ec667885 completed May 14, 2026, 10:20 a.m.
Created at: April 10, 2026, 11:53 a.m.