Triple

T13963074
Position Surface form Disambiguated ID Type / Status
Subject Datunlu East station E335846 entity
Predicate hasExit P6140 FINISHED
Object Exit C
Exit C is one of the designated passenger exits at Datunlu East station in the Beijing Subway system.
E1072526 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: Exit C | Statement: [Datunlu East station, hasExit, Exit C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exit C
Context triple: [Datunlu East station, hasExit, Exit C]
  • A. Exit C
    Exit C is one of the designated passenger exits at Fuxingmen Station in the Beijing Subway system.
  • B. Exit
    "Exit" is a song by U2 from their acclaimed 1987 album *The Joshua Tree*, noted for its dark themes and intense, atmospheric sound.
  • C. Exit B
    Exit B is one of the designated passenger exits at Beijing’s Fuxingmen subway station, providing access between the station concourse and the surrounding street area.
  • D. Terminal C
    Terminal C is one of the passenger terminals at Düsseldorf Airport in Germany, serving various airlines and flights with check-in, security, and boarding facilities.
  • E. Terminal C
    Terminal C is a modern passenger terminal at Orlando International Airport designed to handle increased domestic and international air traffic with updated amenities and infrastructure.
  • 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: Exit C
Triple: [Datunlu East station, hasExit, Exit C]
Generated description
Exit C is one of the designated passenger exits at Datunlu East station in the Beijing Subway system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Exit C
Target entity description: Exit C is one of the designated passenger exits at Datunlu East station in the Beijing Subway system.
  • A. Exit C
    Exit C is one of the designated passenger exits at Fuxingmen Station in the Beijing Subway system.
  • B. Exit
    "Exit" is a song by U2 from their acclaimed 1987 album *The Joshua Tree*, noted for its dark themes and intense, atmospheric sound.
  • C. Exit B
    Exit B is one of the designated passenger exits at Beijing’s Fuxingmen subway station, providing access between the station concourse and the surrounding street area.
  • D. Terminal C
    Terminal C is one of the passenger terminals at Düsseldorf Airport in Germany, serving various airlines and flights with check-in, security, and boarding facilities.
  • E. Terminal C
    Terminal C is one of the main passenger terminals at Luis Muñoz Marín International Airport in Puerto Rico, serving commercial airline operations and traveler services.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d890d48190affd194b2439c271 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba7149cf08190942cc9b1f7f208f0 completed May 6, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_69fba8fe11c881908662d8e8e1720ea4 completed May 6, 2026, 8:47 p.m.
Created at: April 9, 2026, 10:18 p.m.