Triple

T3489226
Position Surface form Disambiguated ID Type / Status
Subject Fuxingmen station E73684 entity
Predicate hasExit P6140 FINISHED
Object 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.
 E362916 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 B | Statement: [Fuxingmen station, hasExit, Exit B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Exit B
Context triple: [Fuxingmen station, hasExit, Exit B]
  • A. Be
    "Be" is the critically acclaimed 2005 hip-hop album by Chicago rapper Common, celebrated for its soulful production by Kanye West and J Dilla and its introspective, socially conscious lyrics.
  • B. BEG
    BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • C. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • D. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • E. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • 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 B
Triple: [Fuxingmen station, hasExit, Exit B]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Exit B
Target entity description: 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.
  • A. Be
    "Be" is the critically acclaimed 2005 hip-hop album by Chicago rapper Common, celebrated for its soulful production by Kanye West and J Dilla and its introspective, socially conscious lyrics.
  • B. BEG
    BEG is the IATA airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • C. B
    B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
  • D. B
    B is the vehicle registration code used on license plates for Berlin, Germany.
  • E. B
    B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
  • 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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb92b3ac8190b8675f5a5e9d4408 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373bb0e00819087899a394f50295d completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b374bb36548190acd369ccef084907 completed March 13, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b3755597d8819081375fab35b75369 completed March 13, 2026, 2:24 a.m.
Created at: March 8, 2026, 3:18 p.m.