Triple

T7384724
Position Surface form Disambiguated ID Type / Status
Subject Nanjing Metro E170351 entity
Predicate hasLine P35 FINISHED
Object S4 Line
The S4 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
 E665362 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: S4 Line | Statement: [Nanjing Metro, hasLine, S4 Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S4 Line
Context triple: [Nanjing Metro, hasLine, S4 Line]
  • A. S4 line
    The S4 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area, including central hubs such as Frankfurt Hauptwache.
  • B. S4 line
    The S4 line is a suburban railway service of the Zürich S-Bahn network that connects the city of Zürich with surrounding regional destinations.
  • C. S1 line
    The S1 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area and surrounding region.
  • D. S1 Line
    The S1 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China, providing urban rail service along one of the city’s key corridors.
  • E. S1 Line
    The S1 Line is a medium-capacity maglev rapid transit line in the Beijing Subway system serving the western suburbs of the city.
  • 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: S4 Line
Triple: [Nanjing Metro, hasLine, S4 Line]
Generated description
The S4 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S4 Line
Target entity description: The S4 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
  • A. S4 line
    The S4 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area, including central hubs such as Frankfurt Hauptwache.
  • B. S4 line
    The S4 line is a suburban railway service of the Zürich S-Bahn network that connects the city of Zürich with surrounding regional destinations.
  • C. S1 line
    The S1 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area and surrounding region.
  • D. S1 Line
    The S1 Line is a medium-capacity maglev rapid transit line in the Beijing Subway system serving the western suburbs of the city.
  • E. S1 Line
    The S1 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China, providing urban rail service along one of the city’s key corridors.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1efe1308190b96eefbff56140be completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8276ec3b88190b720354787f7a735 completed March 28, 2026, 7:09 p.m.
NEDg Description generation batch_69c828c8b0588190a5a99380dc25d837 completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8296962b48190b9f5cc4a66b93b91 completed March 28, 2026, 7:18 p.m.
Created at: March 27, 2026, 3:08 p.m.