Triple

T5989525
Position Surface form Disambiguated ID Type / Status
Subject LATAM Airlines Paraguay E133309 entity
Predicate ICAOCode P419 FINISHED
Object LAP
LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
 E561685 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: LAP | Statement: [LATAM Airlines Paraguay, ICAOCode, LAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LAP
Context triple: [LATAM Airlines Paraguay, ICAOCode, LAP]
  • A. LAC
    LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
  • B. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • C. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • D. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • E. LBA
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • 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: LAP
Triple: [LATAM Airlines Paraguay, ICAOCode, LAP]
Generated description
LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LAP
Target entity description: LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
  • A. LAC
    LAC refers to the Los Angeles Clippers, a professional NBA basketball team based in Los Angeles and a crosstown rival of the Los Angeles Lakers.
  • B. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • C. LAL
    LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
  • D. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • E. LBA
    LBA is the IATA airport code for Leeds Bradford Airport, a regional international airport serving the cities of Leeds and Bradford in West Yorkshire, England.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc76fd481908cc3f327e532a1a6 completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1085ac1bc8190a828d3841098cc23 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10aab4d0c8190ae467f8c7c945196 completed March 23, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69c10b19705c8190a1d9ee17b1c5833f completed March 23, 2026, 9:42 a.m.
Created at: March 22, 2026, 4:05 p.m.