Triple

T5553187
Position Surface form Disambiguated ID Type / Status
Subject 湘南新宿ライン E145575 entity
Predicate 略称 P43 FINISHED
Object SSライン
SSラインは、首都圏を南北に結ぶJR東日本の湘南新宿ラインを指す略称である。
E536022 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: SSライン | Statement: [湘南新宿ライン, 略称, SSライン]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSライン
Context triple: [湘南新宿ライン, 略称, SSライン]
  • A. SS3
    SS3 is an Italian state highway that forms part of the historic Via Flaminia route connecting Rome with central and northeastern Italy.
  • B. S Line
    The S Line is a modern streetcar route in the Salt Lake City area that provides local transit service and links neighborhoods to the broader TRAX light rail network.
  • C. S Line
    The S Line is a route within the Sounder commuter rail system that provides passenger rail service in the Seattle metropolitan area.
  • D. U Line
    U Line is a light metro line in the Seoul metropolitan area that serves the city of Uijeongbu with driverless trains on an elevated and mostly automated system.
  • E. Kada Line
    The Kada Line is a regional railway line in Wakayama Prefecture, Japan, providing local passenger service between Wakayamashi and Kada along the coast.
  • 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: SSライン
Triple: [湘南新宿ライン, 略称, SSライン]
Generated description
SSラインは、首都圏を南北に結ぶJR東日本の湘南新宿ラインを指す略称である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SSライン
Target entity description: SSラインは、首都圏を南北に結ぶJR東日本の湘南新宿ラインを指す略称である。
  • A. SS3
    SS3 is an Italian state highway that forms part of the historic Via Flaminia route connecting Rome with central and northeastern Italy.
  • B. S Line
    The S Line is a modern streetcar route in the Salt Lake City area that provides local transit service and links neighborhoods to the broader TRAX light rail network.
  • C. S Line
    The S Line is a route within the Sounder commuter rail system that provides passenger rail service in the Seattle metropolitan area.
  • D. U Line
    U Line is a light metro line in the Seoul metropolitan area that serves the city of Uijeongbu with driverless trains on an elevated and mostly automated system.
  • E. Kada Line
    The Kada Line is a regional railway line in Wakayama Prefecture, Japan, providing local passenger service between Wakayamashi and Kada along the coast.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cfc6f808190a39c607f61dcfa32 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:35 p.m.