Triple

T1018533
Position Surface form Disambiguated ID Type / Status
Subject Mesa Airlines E21987 entity
Predicate ICAOCode P419 FINISHED
Object ASH
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
 E119298 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: ASH | Statement: [Mesa Airlines, ICAOCode, ASH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASH
Context triple: [Mesa Airlines, ICAOCode, ASH]
  • A. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • B. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • C. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • D. 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.
  • E. ASA
    ASA is the ICAO airline designator used to identify Alaska Airlines in international aviation operations and communications.
  • 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: ASH
Triple: [Mesa Airlines, ICAOCode, ASH]
Generated description
ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASH
Target entity description: ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • A. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • B. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • C. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • D. 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.
  • E. ASA
    ASA is the ICAO airline designator used to identify Alaska Airlines in international aviation operations and communications.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c6005081909d9e56114c532d14 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb423fc8190af65e94f8e2e75d0 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c8b6ce8819097f4f4d504485123 completed March 7, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cf686e48190ba49ee0b14870dcf completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:41 p.m.