Triple

T331093
Position Surface form Disambiguated ID Type / Status
Subject Mexico City International Airport E6626 entity
Predicate focusCityFor P164 FINISHED
Object Aeromar
Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
E42352 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: Aeromar | Statement: [Mexico City International Airport, focusCityFor, Aeromar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aeromar
Context triple: [Mexico City International Airport, focusCityFor, Aeromar]
  • A. Hanga Roa
    Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Granma yacht
    The Granma yacht is the vessel that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, marking the beginning of the Cuban Revolution.
  • D. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • E. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • 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: Aeromar
Triple: [Mexico City International Airport, focusCityFor, Aeromar]
Generated description
Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aeromar
Target entity description: Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
  • A. Hanga Roa
    Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
  • B. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • C. Granma yacht
    The Granma yacht is the vessel that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, marking the beginning of the Cuban Revolution.
  • D. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • E. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaafd1a48190a6d001af3c2a5318 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cff160788190a49faad3c011965e completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d0dff47881909b2dc7002b16e1cd completed March 1, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69a3d15c60d4819091d615246267a2a7 completed March 1, 2026, 5:40 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.