Triple

T15765356
Position Surface form Disambiguated ID Type / Status
Subject 中部国際空港 E382205 entity
Predicate hasPassengerTerminal P1297 FINISHED
Object 第1ターミナル
第1ターミナルは、日本の愛知県にある中部国際空港（セントレア）の主要な旅客ターミナルビルです。
 E1175510 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: 第1ターミナル | Statement: [中部国際空港, hasPassengerTerminal, 第1ターミナル]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 第1ターミナル
Context triple: [中部国際空港, hasPassengerTerminal, 第1ターミナル]
  • A. Terminal 1
    Terminal 1 is a major international passenger terminal at Dubai International Airport that primarily handles flights for numerous international airlines and long-haul routes.
  • B. Terminal 1
    Terminal 1 is one of the main passenger terminals at King Khalid International Airport in Riyadh, Saudi Arabia, handling a significant share of the airport’s international traffic and services.
  • C. Terminal 1
    Terminal 1 is the main passenger terminal at Panama City’s Tocumen International Airport, serving as a central hub for international and domestic flights.
  • D. Terminal 1
    Terminal 1 is one of the main passenger terminals at Abu Dhabi International Airport, handling a significant share of the airport’s international traffic and services.
  • E. Terminal 1
    Terminal 1 is the main passenger terminal at John Paul II International Airport Kraków–Balice, serving as a key facility for check-in, security, and boarding operations.
  • 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: 第1ターミナル
Triple: [中部国際空港, hasPassengerTerminal, 第1ターミナル]
Generated description
第1ターミナルは、日本の愛知県にある中部国際空港（セントレア）の主要な旅客ターミナルビルです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 第1ターミナル
Target entity description: 第1ターミナルは、日本の愛知県にある中部国際空港（セントレア）の主要な旅客ターミナルビルです。
  • A. Terminal 1
    Terminal 1 is a major international passenger terminal at Dubai International Airport that primarily handles flights for numerous international airlines and long-haul routes.
  • B. Terminal 1
    Terminal 1 is one of the main passenger terminals at King Khalid International Airport in Riyadh, Saudi Arabia, handling a significant share of the airport’s international traffic and services.
  • C. Terminal 1
    Terminal 1 is the main passenger terminal at Panama City’s Tocumen International Airport, serving as a central hub for international and domestic flights.
  • D. Terminal 1
    Terminal 1 is one of the main passenger terminals at Abu Dhabi International Airport, handling a significant share of the airport’s international traffic and services.
  • E. Terminal 1
    Terminal 1 is the main passenger terminal at John Paul II International Airport Kraków–Balice, serving as a key facility for check-in, security, and boarding operations.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87789914819097b56482cb8984c7 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff887dc9cc81908833f9881647d82f completed May 9, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69ff8970b85081909c8eb114851841f1 completed May 9, 2026, 7:22 p.m.
Created at: April 10, 2026, 4:47 a.m.