Triple

T16170441
Position Surface form Disambiguated ID Type / Status
Subject Kismayo Airport E392419 entity
Predicate hasIATACode P2569 FINISHED
Object KMU
KMU is the IATA airport code for Kismayo Airport in Kismayo, Somalia.
E1197035 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: KMU | Statement: [Kismayo Airport, hasIATACode, KMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMU
Context triple: [Kismayo Airport, hasIATACode, KMU]
  • A. KMU
    KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, South Korea.
  • B. KMMU
    KMMU is the ICAO airport code for Morristown Municipal Airport, a general aviation airport serving the Morristown, New Jersey area.
  • C. KMDA
    KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
  • D. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • E. KCBM
    KCBM is the ICAO airport code for Columbus Air Force Base, a United States Air Force installation in Mississippi used primarily for pilot training operations.
  • 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: KMU
Triple: [Kismayo Airport, hasIATACode, KMU]
Generated description
KMU is the IATA airport code for Kismayo Airport in Kismayo, Somalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KMU
Target entity description: KMU is the IATA airport code for Kismayo Airport in Kismayo, Somalia.
  • A. KMU
    KMU is the abbreviation commonly used for Keimyung University, a private Christian university located in Daegu, South Korea.
  • B. KMMU
    KMMU is the ICAO airport code for Morristown Municipal Airport, a general aviation airport serving the Morristown, New Jersey area.
  • C. KMDA
    KMDA is the Royal Zoological Society of Antwerp, a Belgian organization that manages major zoological and conservation institutions including Antwerp Zoo.
  • D. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • E. KCBM
    KCBM is the ICAO airport code for Columbus Air Force Base, a United States Air Force installation in Mississippi used primarily for pilot training operations.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb6de30819083af54b50ae5ae51 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bd87f08190a9f2a1524e5db2ba completed May 10, 2026, 3:13 a.m.
NEDg Description generation batch_69fff82b34408190ac40018f940ae370 completed May 10, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_69fff8905ce48190b99f8cc3504efba2 completed May 10, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:02 a.m.