Triple

T9582883
Position Surface form Disambiguated ID Type / Status
Subject US Airways Express E231215 entity
Predicate IATACode P418 FINISHED
Object US
US is the two-letter IATA airline designator code assigned to US Airways Express.
 E88477 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: US | Statement: [US Airways Express, IATACode, US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: US
Context triple: [US Airways Express, IATACode, US]
  • A. US
    The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
  • B. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
  • C. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
  • D. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • E. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • 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: US
Triple: [US Airways Express, IATACode, US]
Generated description
US is the two-letter IATA airline designator code assigned to US Airways Express.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: US
Target entity description: US is the two-letter IATA airline designator code assigned to US Airways Express.
  • A. US chosen
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • B. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • C. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • D. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
  • E. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
  • F. None of above.

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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cebaf081908033536a53fbf668 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc3114ec8190ba80c9059481f946 completed April 5, 2026, 2:42 a.m.
NEDg Description generation batch_69d1cd4b07c481909c81874012438f34 completed April 5, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1cdefca5c8190a673caca42aaa7d0 completed April 5, 2026, 2:50 a.m.
Created at: March 30, 2026, 8:05 p.m.