Triple

T12909211
Position Surface form Disambiguated ID Type / Status
Subject Friedman Memorial Airport E308807 entity
Predicate IATAcode P418 FINISHED
Object SUN
SUN is the IATA airport code for Friedman Memorial Airport, which serves the Sun Valley and Hailey area in Idaho, United States.
 E1009163 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: SUN | Statement: [Friedman Memorial Airport, IATAcode, SUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUN
Context triple: [Friedman Memorial Airport, IATAcode, SUN]
  • A. SUN
    SUN is the National Rail station code for Sunderland railway station in Tyne and Wear, England.
  • B. SUN
    SUN is the Australian Securities Exchange (ASX) ticker symbol for Suncorp Group, a major Australian finance, insurance, and banking corporation.
  • C. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • D. Sun
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • E. Sun
    Sun is a common Chinese surname borne by numerous historical figures, including emperors, generals, and scholars.
  • 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: SUN
Triple: [Friedman Memorial Airport, IATAcode, SUN]
Generated description
SUN is the IATA airport code for Friedman Memorial Airport, which serves the Sun Valley and Hailey area in Idaho, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUN
Target entity description: SUN is the IATA airport code for Friedman Memorial Airport, which serves the Sun Valley and Hailey area in Idaho, United States.
  • A. SUN
    SUN is the National Rail station code for Sunderland railway station in Tyne and Wear, England.
  • B. SUN
    SUN is the Australian Securities Exchange (ASX) ticker symbol for Suncorp Group, a major Australian finance, insurance, and banking corporation.
  • C. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • D. Sun
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • E. Sun
    Sun is a common Chinese surname borne by numerous historical figures, including emperors, generals, and scholars.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5680d748190b8453793219bda8f completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6f6b3348190b50560e747f78d62 completed May 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7c12ef8819095d2418d9999926a completed May 3, 2026, 1:41 a.m.
Created at: April 9, 2026, 5:41 p.m.