Triple

T3776096
Position Surface form Disambiguated ID Type / Status
Subject Seville Airport E83311 entity
Predicate IATAcode P418 FINISHED
Object SVQ
SVQ is the IATA airport code for Seville Airport, the main international airport serving Seville and the Andalusia region in southern Spain.
 E386511 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: SVQ | Statement: [Seville Airport, IATAcode, SVQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVQ
Context triple: [Seville Airport, IATAcode, SVQ]
  • A. SQ
    SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • D. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • E. VQS
    VQS is the IATA airport code for Antonio Rivera Rodríguez Airport, which serves the island of Vieques in Puerto Rico.
  • 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: SVQ
Triple: [Seville Airport, IATAcode, SVQ]
Generated description
SVQ is the IATA airport code for Seville Airport, the main international airport serving Seville and the Andalusia region in southern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVQ
Target entity description: SVQ is the IATA airport code for Seville Airport, the main international airport serving Seville and the Andalusia region in southern Spain.
  • A. SQ
    SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • D. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • E. VQS
    VQS is the IATA airport code for Antonio Rivera Rodríguez Airport, which serves the island of Vieques in Puerto Rico.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e53209888190823412fabacbc914 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e60c23608190977198b6344ff09d completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e686bf2c8190aac01d6c1014c1d4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:36 p.m.