Triple

T32382753
Position Surface form Disambiguated ID Type / Status
Subject Yaesu exit of Tokyo Station E827465 entity
Predicate hasSubExit P48913 FINISHED
Object Yaesu North Exit
Yaesu North Exit is one of the main ticket gate entrances on the Yaesu side of Tokyo Station, providing access to nearby commercial areas and bus terminals.
 E2003861 NE FINISHED

How this triple was built (3 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: Yaesu North Exit | Statement: [Yaesu exit of Tokyo Station, hasSubExit, Yaesu North Exit]
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: Yaesu North Exit
Triple: [Yaesu exit of Tokyo Station, hasSubExit, Yaesu North Exit]
Generated description
Yaesu North Exit is one of the main ticket gate entrances on the Yaesu side of Tokyo Station, providing access to nearby commercial areas and bus terminals.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSubExit
Context triple: [Yaesu exit of Tokyo Station, hasSubExit, Yaesu North Exit]
  • A. hasExitFor
    Indicates that something provides or includes a specific exit intended for a particular destination, purpose, or user.
  • B. hasNumberOfExits
    Indicates the relationship that specifies how many exits are associated with a given entity.
  • C. hasNumberedExit
    Indicates that an entity (such as a road or highway) includes or is associated with an exit that has an assigned number.
  • D. hasExitList
    Indicates that an entity is associated with a collection of defined exits or exit points.
  • E. hasExits chosen
    Indicates that an entity provides one or more ways out or routes leading from it to other locations or states.
  • F. None of above.

Provenance (6 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_69f349177ddc8190ab0583f05597056b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff0214d7348190904688376df99bce completed May 9, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8bbe1b48190b56500c77e034229 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33ea4c34688190b92a5cc87b56bd08 completed June 18, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_6a342cb4168c8190bdbf08ddae3d6811 completed June 18, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69feffd62fec8190a855922c8b3c57cf completed May 9, 2026, 9:35 a.m.
Created at: May 1, 2026, 12:51 a.m.