Triple

T17681141
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Gomes International Airport E440771 entity
Predicate IATAcode P418 FINISHED
Object MAO
MAO is the IATA airport code for Eduardo Gomes International Airport, the main airport serving Manaus in Brazil’s Amazonas state.
 E1281859 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: MAO | Statement: [Eduardo Gomes International Airport, IATAcode, MAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAO
Context triple: [Eduardo Gomes International Airport, IATAcode, MAO]
  • A. MAO
    MAO is a contemporary art gallery and exhibition space in Oxford, England, known for showcasing innovative modern and contemporary art.
  • B. MAU
    MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • C. MAU
    MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
  • D. MAU
    MAU is the commonly used abbreviation for Malmö University, a public higher education institution in Malmö, Sweden.
  • E. MOA
    MOA is a renowned anthropology museum at the University of British Columbia in Vancouver, best known for its extensive collections of Indigenous art and cultural artifacts from around the world.
  • 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: MAO
Triple: [Eduardo Gomes International Airport, IATAcode, MAO]
Generated description
MAO is the IATA airport code for Eduardo Gomes International Airport, the main airport serving Manaus in Brazil’s Amazonas state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAO
Target entity description: MAO is the IATA airport code for Eduardo Gomes International Airport, the main airport serving Manaus in Brazil’s Amazonas state.
  • A. MAO
    MAO is a contemporary art gallery and exhibition space in Oxford, England, known for showcasing innovative modern and contemporary art.
  • B. MAU
    MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
  • C. MAU
    MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • D. MAU
    MAU is the commonly used abbreviation for Malmö University, a public higher education institution in Malmö, Sweden.
  • E. MOA
    MOA is a renowned anthropology museum at the University of British Columbia in Vancouver, best known for its extensive collections of Indigenous art and cultural artifacts from around the world.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470445b3881908bb0930b986089f7 completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02232a4d488190b43226ba2f34e7c0 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022446c9d881908ffd0f48e06f5c0e completed May 11, 2026, 6:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0224b3b33881909190dbb5752c758d completed May 11, 2026, 6:49 p.m.
Created at: April 10, 2026, 10:01 a.m.