Triple

T11357149
Position Surface form Disambiguated ID Type / Status
Subject Split Airport E268985 entity
Predicate IATA code P2569 FINISHED
Object SPU
SPU is the three-letter IATA airport code for Split Airport, the main international airport serving the coastal city of Split in Croatia.
 E920912 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: SPU | Statement: [Split Airport, IATA code, SPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPU
Context triple: [Split Airport, IATA code, SPU]
  • A. SPU
    SPU is a private Christian liberal arts university located in Seattle, Washington.
  • B. UWSP
    UWSP is a public university in Stevens Point, Wisconsin, known for its strong programs in natural resources, education, and the arts within the University of Wisconsin System.
  • C. SCU
    SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
  • D. SCU
    SCU is the commonly used abbreviation for Sichuan University, a major comprehensive research university located in Chengdu, China.
  • E. SFPUC
    SFPUC is the municipal agency responsible for providing water, wastewater, and power services to San Francisco and surrounding areas.
  • 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: SPU
Triple: [Split Airport, IATA code, SPU]
Generated description
SPU is the three-letter IATA airport code for Split Airport, the main international airport serving the coastal city of Split in Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPU
Target entity description: SPU is the three-letter IATA airport code for Split Airport, the main international airport serving the coastal city of Split in Croatia.
  • A. SPU
    SPU is a private Christian liberal arts university located in Seattle, Washington.
  • B. UWSP
    UWSP is a public university in Stevens Point, Wisconsin, known for its strong programs in natural resources, education, and the arts within the University of Wisconsin System.
  • C. SCU
    SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
  • D. SCU
    SCU is the commonly used abbreviation for Sichuan University, a major comprehensive research university located in Chengdu, China.
  • E. SFPUC
    SFPUC is the municipal agency responsible for providing water, wastewater, and power services to San Francisco and surrounding areas.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bc97b08190a87371a1e1e6f9c5 completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.