Triple

T8865538
Position Surface form Disambiguated ID Type / Status
Subject Minami-ku, Sapporo E211008 entity
Predicate hasBorderWith P224 FINISHED
Object Eniwa
Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
 E770850 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: Eniwa | Statement: [Minami-ku, Sapporo, hasBorderWith, Eniwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eniwa
Context triple: [Minami-ku, Sapporo, hasBorderWith, Eniwa]
  • A. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • B. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • C. Nagareyama
    Nagareyama is a city in Chiba Prefecture, Japan, known as a residential suburb of the Tokyo metropolitan area with growing commuter access and family-oriented neighborhoods.
  • D. Omishima
    Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
  • E. Tobata
    Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
  • 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: Eniwa
Triple: [Minami-ku, Sapporo, hasBorderWith, Eniwa]
Generated description
Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eniwa
Target entity description: Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
  • A. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • B. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • C. Nagareyama
    Nagareyama is a city in Chiba Prefecture, Japan, known as a residential suburb of the Tokyo metropolitan area with growing commuter access and family-oriented neighborhoods.
  • D. Omishima
    Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
  • E. Tobata
    Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6106d41081909db710bda8aaf6fd completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd082bbe88190a207d39f9295735e completed April 3, 2026, 2:36 p.m.
NEDg Description generation batch_69cfd1e8a5f8819092fe8a91d4d53697 completed April 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69cfd242590881909ca351c1040c76ef completed April 3, 2026, 2:44 p.m.
Created at: March 30, 2026, 6:51 p.m.