Triple

T22684108
Position Surface form Disambiguated ID Type / Status
Subject 稚内市 E560862 entity
Predicate contains P35 FINISHED
Object 稚内空港
稚内空港は、日本最北端の都市である北海道・稚内市に位置し、主に札幌などへの路線を持つ地域拠点空港です。
 E1549491 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: 稚内空港 | Statement: [稚内市, contains, 稚内空港]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 稚内空港
Context triple: [稚内市, contains, 稚内空港]
  • A. 天草飛行場
    天草飛行場は、熊本県天草市に位置し、地域路線を中心に運航する天草エアラインの拠点となっている地方空港です。
  • B. Sunport Takamatsu
    Sunport Takamatsu is a waterfront urban complex and gateway district in Takamatsu, Japan, featuring a ferry port, shopping and dining facilities, and scenic views of the Seto Inland Sea.
  • C. Misawa Airport
    Misawa Airport is a regional airport in Misawa, Aomori Prefecture, Japan, that shares facilities with Misawa Air Base and serves both civilian and military aviation.
  • D. Memanbetsu Airport
    Memanbetsu Airport is a regional airport in eastern Hokkaido, Japan, serving the city of Ōzora and providing domestic flights and access to nearby natural attractions such as the Shiretoko Peninsula and Lake Abashiri.
  • E. Shonai Airport
    Shonai Airport is a regional airport in Japan serving the Shonai area of Yamagata Prefecture with domestic flights.
  • 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: 稚内空港
Triple: [稚内市, contains, 稚内空港]
Generated description
稚内空港は、日本最北端の都市である北海道・稚内市に位置し、主に札幌などへの路線を持つ地域拠点空港です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 稚内空港
Target entity description: 稚内空港は、日本最北端の都市である北海道・稚内市に位置し、主に札幌などへの路線を持つ地域拠点空港です。
  • A. 天草飛行場
    天草飛行場は、熊本県天草市に位置し、地域路線を中心に運航する天草エアラインの拠点となっている地方空港です。
  • B. Sunport Takamatsu
    Sunport Takamatsu is a waterfront urban complex and gateway district in Takamatsu, Japan, featuring a ferry port, shopping and dining facilities, and scenic views of the Seto Inland Sea.
  • C. Misawa Airport
    Misawa Airport is a regional airport in Misawa, Aomori Prefecture, Japan, that shares facilities with Misawa Air Base and serves both civilian and military aviation.
  • D. Memanbetsu Airport
    Memanbetsu Airport is a regional airport in eastern Hokkaido, Japan, serving the city of Ōzora and providing domestic flights and access to nearby natural attractions such as the Shiretoko Peninsula and Lake Abashiri.
  • E. Shonai Airport
    Shonai Airport is a regional airport in Japan serving the Shonai area of Yamagata Prefecture with domestic flights.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17862c8a48190912a8ad09dfda795 completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f4db988190a651faf7f454c6c8 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7551043c81908323a86af4db77ce completed May 18, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b764c2de88190bb1024206607d107 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:12 p.m.