Triple

T1090022
Position Surface form Disambiguated ID Type / Status
Subject LATAM Airlines Group E24140 entity
Predicate IATACode P418 FINISHED
Object LA
LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
 E174686 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: LA | Statement: [LATAM Airlines Group, IATACode, LA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LA
Context triple: [LATAM Airlines Group, IATACode, LA]
  • A. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • B. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • C. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • D. Malibu, California
    Malibu, California is a coastal city in Los Angeles County known for its scenic beaches, affluent residential communities, and role as a hub for entertainment industry professionals.
  • E. Anaheim
    Anaheim is a major city in Orange County, California, best known as the home of the Disneyland Resort and a significant hub for tourism and entertainment in the region.
  • 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: LA
Triple: [LATAM Airlines Group, IATACode, LA]
Generated description
LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LA
Target entity description: LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • A. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • B. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • C. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • D. Malibu, California
    Malibu, California is a coastal city in Los Angeles County known for its scenic beaches, affluent residential communities, and role as a hub for entertainment industry professionals.
  • E. Anaheim
    Anaheim is a major city in Orange County, California, best known as the home of the Disneyland Resort and a significant hub for tourism and entertainment in the region.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97f216881909e9b8943ce2078e4 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293450488190ac8a795524ca0c2c completed March 8, 2026, 7:45 a.m.
NEDg Description generation batch_69ad29b9ffa88190a047b213cbfd4c84 completed March 8, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a2d6b7c819083042c3a36fb55e4 completed March 8, 2026, 7:50 a.m.
Created at: March 1, 2026, 7:42 p.m.