Triple

T21957439
Position Surface form Disambiguated ID Type / Status
Subject Nissaka-juku E542228 entity
Predicate notableNearbyFeature P19575 FINISHED
Object Sayo-no-Nakayama
Sayo-no-Nakayama is a historically significant mountain pass in Japan, long known as a challenging section of the old Tōkaidō route.
 E1514828 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: Sayo-no-Nakayama | Statement: [Nissaka-juku, notableNearbyFeature, Sayo-no-Nakayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sayo-no-Nakayama
Context triple: [Nissaka-juku, notableNearbyFeature, Sayo-no-Nakayama]
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • C. Osakasayama
    Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
  • D. Ameya-Yokochō
    Ameya-Yokochō is a bustling open-air market street in Tokyo known for its dense concentration of shops, food stalls, and bargain goods.
  • E. Kanramachi
    Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
  • 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: Sayo-no-Nakayama
Triple: [Nissaka-juku, notableNearbyFeature, Sayo-no-Nakayama]
Generated description
Sayo-no-Nakayama is a historically significant mountain pass in Japan, long known as a challenging section of the old Tōkaidō route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sayo-no-Nakayama
Target entity description: Sayo-no-Nakayama is a historically significant mountain pass in Japan, long known as a challenging section of the old Tōkaidō route.
  • A. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • B. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • C. Osakasayama
    Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
  • D. Ameya-Yokochō
    Ameya-Yokochō is a bustling open-air market street in Tokyo known for its dense concentration of shops, food stalls, and bargain goods.
  • E. Kanramachi
    Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1244108948190a08e6966e55c4acd completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b5abc5c8190b5ba2c4352289bb0 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c35f92081909d83acfaa927d52f completed May 18, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7c9887ec81908638c72bbfca1580 completed May 18, 2026, 2:42 a.m.
Created at: April 16, 2026, 7:59 p.m.