Triple

T15124206
Position Surface form Disambiguated ID Type / Status
Subject Växjö Småland Airport E361243 entity
Predicate hasICAOcode P419 FINISHED
Object ESMX
ESMX is the ICAO airport code for Växjö Småland Airport in southern Sweden.
 E1139334 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: ESMX | Statement: [Växjö Småland Airport, hasICAOcode, ESMX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESMX
Context triple: [Växjö Småland Airport, hasICAOcode, ESMX]
  • A. SMSE
    SMSE is the Shiley-Marcos School of Engineering, an academic division focused on engineering education and research at the University of San Diego.
  • B. EMS
    EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
  • C. EMS
    EMS is a Christian mission organization focused on international partnership, evangelism, and social justice work, particularly within the global evangelical community.
  • D. EMS
    EMS is the vehicle registration code used on license plates for vehicles registered in the district of Rhein-Lahn-Kreis, whose administrative seat is Nassau, in the German state of Rhineland-Palatinate.
  • E. EMS
    EMS (Enhanced Messaging Service) is a mobile messaging standard that extends basic SMS by allowing the exchange of simple multimedia content such as formatted text, icons, animations, and ringtones between compatible phones.
  • 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: ESMX
Triple: [Växjö Småland Airport, hasICAOcode, ESMX]
Generated description
ESMX is the ICAO airport code for Växjö Småland Airport in southern Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESMX
Target entity description: ESMX is the ICAO airport code for Växjö Småland Airport in southern Sweden.
  • A. SMSE
    SMSE is the Shiley-Marcos School of Engineering, an academic division focused on engineering education and research at the University of San Diego.
  • B. EMS
    EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
  • C. EMS
    EMS is a Christian mission organization focused on international partnership, evangelism, and social justice work, particularly within the global evangelical community.
  • D. EMS
    EMS is the vehicle registration code used on license plates for vehicles registered in the district of Rhein-Lahn-Kreis, whose administrative seat is Nassau, in the German state of Rhineland-Palatinate.
  • E. EMS
    EMS (Enhanced Messaging Service) is a mobile messaging standard that extends basic SMS by allowing the exchange of simple multimedia content such as formatted text, icons, animations, and ringtones between compatible phones.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f67f6c81909723c13255306668 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb988f17c81908ea237e413d4adb1 completed May 9, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69feba0d2ad081908f637740e8714cc1 completed May 9, 2026, 4:37 a.m.
Created at: April 10, 2026, 3:06 a.m.