Triple

T254183
Position Surface form Disambiguated ID Type / Status
Subject Southwest Airlines E5400 entity
Predicate IATACode P418 FINISHED
Object WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
E32918 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: WN | Statement: [Southwest Airlines, IATACode, WN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WN
Context triple: [Southwest Airlines, IATACode, WN]
  • A. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • B. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • 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
  • 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: WN
Triple: [Southwest Airlines, IATACode, WN]
Generated description
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WN
Target entity description: WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • A. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • B. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d548cac819081b1636b2a057c62 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3765f5b408190af6e185d6617ef5b completed Feb. 28, 2026, 11:12 p.m.
NEDg Description generation batch_69a3784b3104819096bfbbfe2fc18d6a completed Feb. 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69a378ac061c8190b8f38a6711cf821e completed Feb. 28, 2026, 11:22 p.m.
Created at: Feb. 28, 2026, 2:55 a.m.