Triple

T16575868
Position Surface form Disambiguated ID Type / Status
Subject Nuuk Airport E402706 entity
Predicate operator P179 FINISHED
Object Mittarfeqarfiit
Mittarfeqarfiit is the government-owned company responsible for operating and managing airports and heliports across Greenland.
E1221937 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: Mittarfeqarfiit | Statement: [Nuuk Airport, operator, Mittarfeqarfiit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mittarfeqarfiit
Context triple: [Nuuk Airport, operator, Mittarfeqarfiit]
  • A. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • B. Marafiq
    Marafiq is a major utility company in Saudi Arabia that provides power and water services to industrial cities such as Jubail.
  • C. Feyli
    Feyli is a dialect of Southern Kurdish spoken primarily by the Feyli Kurds in parts of Iraq and Iran.
  • D. Mashíyyat
    Mashíyyat is the first month of the Badíʻ (Baháʼí) calendar, associated with the concept of the Divine Will.
  • E. Afareaitu
    Afareaitu is the main administrative village of the island of Moorea in French Polynesia.
  • 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: Mittarfeqarfiit
Triple: [Nuuk Airport, operator, Mittarfeqarfiit]
Generated description
Mittarfeqarfiit is the government-owned company responsible for operating and managing airports and heliports across Greenland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mittarfeqarfiit
Target entity description: Mittarfeqarfiit is the government-owned company responsible for operating and managing airports and heliports across Greenland.
  • A. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • B. Marafiq
    Marafiq is a major utility company in Saudi Arabia that provides power and water services to industrial cities such as Jubail.
  • C. Feyli
    Feyli is a dialect of Southern Kurdish spoken primarily by the Feyli Kurds in parts of Iraq and Iran.
  • D. Mashíyyat
    Mashíyyat is the first month of the Badíʻ (Baháʼí) calendar, associated with the concept of the Divine Will.
  • E. Afareaitu
    Afareaitu is the main administrative village of the island of Moorea in French Polynesia.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595cb65481909be62a52deff3d44 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006eecbb6c81908abc5659333a4879 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fa02870819083c1b25eb4c8ffad completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0070aee0248190b3463b98a739d1ae completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:16 a.m.