Triple

T12984018
Position Surface form Disambiguated ID Type / Status
Subject Jönköping Airport E321720 entity
Predicate UNLOCODE P1800 FINISHED
Object SEJKG
SEJKG is the UN/LOCODE identifier assigned to Jönköping Airport in Sweden for use in international trade and transport logistics.
E1012575 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: SEJKG | Statement: [Jönköping Airport, UNLOCODE, SEJKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEJKG
Context triple: [Jönköping Airport, UNLOCODE, SEJKG]
  • A. SEK
    SEK is the official currency code for the Swedish krona, the national currency of Sweden.
  • B. JEK
    JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
  • C. Sek
    Sek is the Vulcan son of Star Trek: Voyager’s tactical officer Tuvok.
  • D. SEJ
    SEJ is the ICAO airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • E. .sj
    .sj is the reserved country code top-level domain designated for Svalbard and Jan Mayen, territories of Norway, which is not actively used for general internet registrations.
  • 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: SEJKG
Triple: [Jönköping Airport, UNLOCODE, SEJKG]
Generated description
SEJKG is the UN/LOCODE identifier assigned to Jönköping Airport in Sweden for use in international trade and transport logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SEJKG
Target entity description: SEJKG is the UN/LOCODE identifier assigned to Jönköping Airport in Sweden for use in international trade and transport logistics.
  • A. SEK
    SEK is the official currency code for the Swedish krona, the national currency of Sweden.
  • B. JEK
    JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
  • C. Sek
    Sek is the Vulcan son of Star Trek: Voyager’s tactical officer Tuvok.
  • D. SEJ
    SEJ is the ICAO airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • E. .sj
    .sj is the reserved country code top-level domain designated for Svalbard and Jan Mayen, territories of Norway, which is not actively used for general internet registrations.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5e3f208190abd2d4b4d5114834 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f4320881909d66eaa48f888fab completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dc31ec819093c89ff0a1ccbfa1 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6baacd7548190af5514923a0dee26 completed May 3, 2026, 3:02 a.m.
Created at: April 9, 2026, 8:39 p.m.