Triple

T18807592
Position Surface form Disambiguated ID Type / Status
Subject SL metro E459919 entity
Predicate hasLine P35 FINISHED
Object Line 17
Line 17 is a route of the SL metro system, serving as one of its numbered lines for urban passenger transport.
 E1350072 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 17 | Statement: [SL metro, hasLine, Line 17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 17
Context triple: [SL metro, hasLine, Line 17]
  • A. Line 17
    Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
  • B. Line 17
    Line 17 is a suburban rapid transit line of the Shanghai Metro that primarily serves the western districts of the city, connecting urban Shanghai with outlying residential and developing areas.
  • C. Line 17
    Line 17 is a planned automated metro line of the Grand Paris Express project designed to improve rapid transit connections in the Paris metropolitan area.
  • D. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, China.
  • E. Line 18
    Line 18 is a planned rapid transit line of the Chongqing Metro system in Chongqing, 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 17
Triple: [SL metro, hasLine, Line 17]
Generated description
Line 17 is a route of the SL metro system, serving as one of its numbered lines for urban passenger transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 17
Target entity description: Line 17 is a route of the SL metro system, serving as one of its numbered lines for urban passenger transport.
  • A. Line 17
    Line 17 is a rapid transit line of the Beijing Subway system designed to improve north–south connectivity across the city.
  • B. Line 17
    Line 17 is a suburban rapid transit line of the Shanghai Metro that primarily serves the western districts of the city, connecting urban Shanghai with outlying residential and developing areas.
  • C. Line 17
    Line 17 is a planned automated metro line of the Grand Paris Express project designed to improve rapid transit connections in the Paris metropolitan area.
  • D. Line 18
    Line 18 is a planned rapid transit line of the Chongqing Metro system in Chongqing, China.
  • E. Line 18
    Line 18 is a high-speed rapid transit line of the Guangzhou Metro system in Guangzhou, 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_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_6a0590fe846c8190a2d31f7b847382e5 completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a05956b9c2081909f358709562aa9c9 completed May 14, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0595c7c70081909ab778baf172db0e completed May 14, 2026, 9:28 a.m.
Created at: April 10, 2026, 11:53 a.m.