Triple

T4569909
Position Surface form Disambiguated ID Type / Status
Subject Kemi-Tornio Airport E123004 entity
Predicate IATAcode P418 FINISHED
Object KEM
KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
 E454266 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: KEM | Statement: [Kemi-Tornio Airport, IATAcode, KEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KEM
Context triple: [Kemi-Tornio Airport, IATAcode, KEM]
  • A. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • B. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • C. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • D. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • E. Kemp
    Kemp is a surname most famously associated with former NBA All-Star forward Shawn Kemp, known for his high-flying dunks with the Seattle SuperSonics in the 1990s.
  • 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: KEM
Triple: [Kemi-Tornio Airport, IATAcode, KEM]
Generated description
KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KEM
Target entity description: KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
  • A. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • B. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • C. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • D. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • E. Kemp
    Kemp is a surname most famously associated with former NBA All-Star forward Shawn Kemp, known for his high-flying dunks with the Seattle SuperSonics in the 1990s.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c3eba48190af1fce6e1ca16943 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3c6806c81908fd374cd4537185e completed March 20, 2026, 11:09 p.m.
NEDg Description generation batch_69bdd94b5a1c819098d42f940d295728 completed March 20, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69bdd9aaab188190a2279b5fa73c6dbc completed March 20, 2026, 11:35 p.m.
Created at: March 20, 2026, 1:10 p.m.