Triple

T374873
Position Surface form Disambiguated ID Type / Status
Subject United Airlines E8348 entity
Predicate IATACode P418 FINISHED
Object UA
UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
 E47401 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: UA | Statement: [United Airlines, IATACode, UA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UA
Context triple: [United Airlines, IATACode, UA]
  • A. UN
    The UN is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • B. UST
    UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
  • C. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • 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: UA
Triple: [United Airlines, IATACode, UA]
Generated description
UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UA
Target entity description: UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • A. UN
    The UN is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • B. UST
    UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
  • C. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec1585648190943f1c698e9b2d81 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f0aa7ac081908125aee0042c63cc completed March 1, 2026, 7:54 a.m.
NEDg Description generation batch_69a3f11956f88190aed9f3b7f51c0c37 completed March 1, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69a3f21217b881909817a693e8cd75f5 completed March 1, 2026, 8 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.