Triple

T8407850
Position Surface form Disambiguated ID Type / Status
Subject Spirit of St. Louis Airport E198544 entity
Predicate IATACode P418 FINISHED
Object SUS
SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
 E731385 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: SUS | Statement: [Spirit of St. Louis Airport, IATACode, SUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SUS
Context triple: [Spirit of St. Louis Airport, IATACode, SUS]
  • A. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • B. SUS
    SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
  • C. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • D. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • E. Su
    Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
  • 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: SUS
Triple: [Spirit of St. Louis Airport, IATACode, SUS]
Generated description
SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SUS
Target entity description: SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
  • A. SUS
    SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
  • B. SUS
    SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
  • C. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • D. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • E. Su
    Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8315a8a8819097f6da11b909b527 completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce030dccf08190a70c0abf0bdcf244 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.