Triple

T8796987
Position Surface form Disambiguated ID Type / Status
Subject LATAM Brasil E209312 entity
Predicate ICAOCode P419 FINISHED
Object TAM
TAM is the former brand name and airline code of LATAM Airlines Brasil, one of Brazil’s largest commercial airlines.
 E759594 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: TAM | Statement: [LATAM Brasil, ICAOCode, TAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TAM
Context triple: [LATAM Brasil, ICAOCode, TAM]
  • A. TAM
    TAM is a prominent annual conference focused on science, skepticism, and critical thinking, originally organized by the James Randi Educational Foundation.
  • B. TAM
    TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • C. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • D. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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: TAM
Triple: [LATAM Brasil, ICAOCode, TAM]
Generated description
TAM is the former brand name and airline code of LATAM Airlines Brasil, one of Brazil’s largest commercial airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TAM
Target entity description: TAM is the former brand name and airline code of LATAM Airlines Brasil, one of Brazil’s largest commercial airlines.
  • A. TAM
    TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
  • B. TAM
    TAM is a prominent annual conference focused on science, skepticism, and critical thinking, originally organized by the James Randi Educational Foundation.
  • C. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • D. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf71c118848190a937ecf714556ef3 completed April 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69cf744b17e88190b14607e6dff823a3 completed April 3, 2026, 8:03 a.m.
Created at: March 30, 2026, 6:44 p.m.