Triple

T6273090
Position Surface form Disambiguated ID Type / Status
Subject Vágar Airport E140585 entity
Predicate IATA code P2569 FINISHED
Object FAE
FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
 E580366 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: FAE | Statement: [Vágar Airport, IATA code, FAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAE
Context triple: [Vágar Airport, IATA code, FAE]
  • A. FAES
    FAES is the acronym for the Armed Forces of El Salvador, the country's unified military institution responsible for national defense and security.
  • B. FALE
    FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
  • C. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • D. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • E. FAF
    FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
  • 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: FAE
Triple: [Vágar Airport, IATA code, FAE]
Generated description
FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAE
Target entity description: FAE is the IATA airport code for Vágar Airport, the main international gateway to the Faroe Islands.
  • A. FAES
    FAES is the acronym for the Armed Forces of El Salvador, the country's unified military institution responsible for national defense and security.
  • B. FALE
    FALE is the ICAO airport code assigned to King Shaka International Airport in Durban, South Africa.
  • C. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • D. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • E. FAF
    FAF is the commonly used abbreviation for the Financial Accounting Foundation, the U.S. organization that oversees and supports the creation of financial accounting and reporting standards.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063be5a148190a8752426d2d220f8 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446ad060819094acd817ba5eadc9 completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c4fb6bb9bc8190a29ae09221aa5464 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc075dd881908230bb66d1445d5a completed March 26, 2026, 9:27 a.m.
Created at: March 22, 2026, 4:25 p.m.