Triple

T6686242
Position Surface form Disambiguated ID Type / Status
Subject Melilla Airport E152104 entity
Predicate IATAcode P418 FINISHED
Object MLN
MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
 E611959 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: MLN | Statement: [Melilla Airport, IATAcode, MLN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MLN
Context triple: [Melilla Airport, IATAcode, MLN]
  • A. FMLN
    FMLN (Farabundo Martí National Liberation Front) is a leftist political organization in El Salvador that began as a coalition of guerrilla groups during the Salvadoran Civil War and later became a major political party.
  • B. MLC
    MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
  • C. MLU
    MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
  • D. ML3
    ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
  • E. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • 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: MLN
Triple: [Melilla Airport, IATAcode, MLN]
Generated description
MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MLN
Target entity description: MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
  • A. FMLN
    FMLN (Farabundo Martí National Liberation Front) is a leftist political organization in El Salvador that began as a coalition of guerrilla groups during the Salvadoran Civil War and later became a major political party.
  • B. MLC
    MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
  • C. MLU
    MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
  • D. ML3
    ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
  • E. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14cd6748190aad4badd5f253478 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b0c0148190a232ed10950ec92b completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f84621988190a3502dff9ee6296d completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f8f694f48190a6bb380b0ca583bf completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:04 p.m.