Triple

T32683810
Position Surface form Disambiguated ID Type / Status
Subject E6 series Shinkansen E835661 entity
Predicate serviceStartRoute P66864 FINISHED
Object Tokyo–Akita
Tokyo–Akita is a high-speed Shinkansen rail corridor in Japan connecting the capital Tokyo with Akita in the Tōhoku region.
 E2018929 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: Tokyo–Akita | Statement: [E6 series Shinkansen, serviceStartRoute, Tokyo–Akita]
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: Tokyo–Akita
Triple: [E6 series Shinkansen, serviceStartRoute, Tokyo–Akita]
Generated description
Tokyo–Akita is a high-speed Shinkansen rail corridor in Japan connecting the capital Tokyo with Akita in the Tōhoku region.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: serviceStartRoute
Context triple: [E6 series Shinkansen, serviceStartRoute, Tokyo–Akita]
  • A. serviceRoute chosen
    Indicates that a service (such as a transport or delivery operation) follows or is assigned to a particular route.
  • B. serviceStartLocation
    Indicates the place where a service or operation is initiated or begins.
  • C. serviceStartContext
    Indicates the circumstances or conditions under which a service begins or is initiated.
  • D. serviceUseCase
    Indicates that an entity is used as a service to fulfill or support a particular use case or functional scenario.
  • E. serviceToState
    Indicates a relationship where an entity provides service, assistance, or functional support to a state or governmental body.
  • 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_69f3493211388190993801216afbc2a7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a349eb8d7108190a66d866e9272383e completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f7f7c1c81908cf908084632c815 completed June 19, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a34a0220314819091450074e783e841 completed June 19, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69fbbd13595c81908719f52c3d37a7e8 completed May 6, 2026, 10:13 p.m.
Created at: May 1, 2026, 1:09 a.m.