Triple

T20872846
Position Surface form Disambiguated ID Type / Status
Subject El Tari International Airport E513937 entity
Predicate IATAcode P418 FINISHED
Object KOE
KOE is the IATA airport code for El Tari International Airport, which serves Kupang in East Nusa Tenggara, Indonesia.
E1455829 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: KOE | Statement: [El Tari International Airport, IATAcode, KOE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KOE
Context triple: [El Tari International Airport, IATAcode, KOE]
  • A. KOO
    KOO is the commonly used abbreviation for KooKoo, a term whose specific meaning depends on its contextual usage.
  • B. Koo
    Koo is a Korean family name associated with several prominent business and cultural figures in South Korea.
  • C. KOVE
    KOVE is the ICAO airport code for Oroville Municipal Airport, a public airport serving Oroville, California.
  • D. Ko
    Ko is a Japanese given-name element commonly used in female names, often carrying meanings like “child” depending on the kanji used.
  • E. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • 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: KOE
Triple: [El Tari International Airport, IATAcode, KOE]
Generated description
KOE is the IATA airport code for El Tari International Airport, which serves Kupang in East Nusa Tenggara, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KOE
Target entity description: KOE is the IATA airport code for El Tari International Airport, which serves Kupang in East Nusa Tenggara, Indonesia.
  • A. KOO
    KOO is the commonly used abbreviation for KooKoo, a term whose specific meaning depends on its contextual usage.
  • B. Koo
    Koo is a Korean family name associated with several prominent business and cultural figures in South Korea.
  • C. KOVE
    KOVE is the ICAO airport code for Oroville Municipal Airport, a public airport serving Oroville, California.
  • D. Ko
    Ko is a Japanese given-name element commonly used in female names, often carrying meanings like “child” depending on the kanji used.
  • E. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c465693881909fe4c756ddc4f291 completed April 21, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09139c8128819087defc01b340f508 completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a0914ad125c8190bc629321ec2a3a1b completed May 17, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_6a09157461b4819096ab8d77b40f9c9a completed May 17, 2026, 1:10 a.m.
Created at: April 16, 2026, 12:45 p.m.