Triple

T947915
Position Surface form Disambiguated ID Type / Status
Subject Alaska Airlines E20454 entity
Predicate ICAOcode P419 FINISHED
Object ASA
ASA is the ICAO airline designator used to identify Alaska Airlines in international aviation operations and communications.
 E113918 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: ASA | Statement: [Alaska Airlines, ICAOcode, ASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASA
Context triple: [Alaska Airlines, ICAOcode, ASA]
  • A. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • B. ASA
    ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
  • C. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • D. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • E. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • 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: ASA
Triple: [Alaska Airlines, ICAOcode, ASA]
Generated description
ASA is the ICAO airline designator used to identify Alaska Airlines in international aviation operations and communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASA
Target entity description: ASA is the ICAO airline designator used to identify Alaska Airlines in international aviation operations and communications.
  • A. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • B. ASA
    ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
  • C. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • D. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • E. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3be19448190a8863fce3d152430 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119db8c881909cd727b255675c0c completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac147efce881909968fbb1c19f0237 completed March 7, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac14ca3b6c8190955387f5b6003931 completed March 7, 2026, 12:06 p.m.
Created at: March 1, 2026, 7:40 p.m.