Triple

T43174
Position Surface form Disambiguated ID Type / Status
Subject Delta Air Lines E848 entity
Predicate IATACode P418 FINISHED
Object DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
 E2370 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: DL | Statement: [Delta Air Lines, IATACode, DL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DL
Context triple: [Delta Air Lines, IATACode, DL]
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • C. Doug
    Doug is a common English masculine given name, typically used as a short form of Douglas.
  • D. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • E. LOC
    LOC is the commonly used abbreviation for the Library of Congress, the national library of the United States and one of the largest libraries in 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: DL
Triple: [Delta Air Lines, IATACode, DL]
Generated description
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DL
Target entity description: DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • C. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • D. Doug
    Doug is a common English masculine given name, typically used as a short form of Douglas.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae236548190bd225d125f23e6c7 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e63a9848190a0f38b23521804e6 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24efe21148190849accf51a2632f0 completed Feb. 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69a24fcbeee4819087186dada7466dfe completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.