Triple

T14690579
Position Surface form Disambiguated ID Type / Status
Subject Niigata Prefecture E345022 entity
Predicate containsCity P294 FINISHED
Object Tsubame
Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
E1114278 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: Tsubame | Statement: [Niigata Prefecture, containsCity, Tsubame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsubame
Context triple: [Niigata Prefecture, containsCity, Tsubame]
  • A. Tsubame
    Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
  • B. Tsuru
    Tsuru is a small city in Yamanashi Prefecture, Japan, known for its scenic setting near Mount Fuji and its educational institutions.
  • C. Murai
    Murai is a Japanese surname borne by various notable individuals across fields such as film, music, and sports.
  • D. Akahige
    Akahige is the Japanese name for the Japanese robin, a small passerine bird native to East Asia known for its bright orange-red face and breast.
  • E. Hamachō
    Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
  • 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: Tsubame
Triple: [Niigata Prefecture, containsCity, Tsubame]
Generated description
Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tsubame
Target entity description: Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
  • A. Tsubame
    Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
  • B. Tsuru
    Tsuru is a small city in Yamanashi Prefecture, Japan, known for its scenic setting near Mount Fuji and its educational institutions.
  • C. Murai
    Murai is a Japanese surname borne by various notable individuals across fields such as film, music, and sports.
  • D. Akahige
    Akahige is the Japanese name for the Japanese robin, a small passerine bird native to East Asia known for its bright orange-red face and breast.
  • E. Hamachō
    Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde5fd6854819083957f2c653eb8b6 completed May 8, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69fde6ffc27881909427d24560011cdf completed May 8, 2026, 1:37 p.m.
Created at: April 10, 2026, 1:28 a.m.