Triple

T2212144
Position Surface form Disambiguated ID Type / Status
Subject Kona International Airport E50941 entity
Predicate IATAcode P418 FINISHED
Object KOA
KOA is the three-letter IATA airport code for Kona International Airport on the island of Hawaiʻi.
E245721 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: KOA | Statement: [Kona International Airport, IATAcode, KOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KOA
Context triple: [Kona International Airport, IATAcode, KOA]
  • A. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • B. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • C. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • D. Koht
    Koht is a Norwegian surname most notably associated with historian and politician Halvdan Koht.
  • E. Kok-boru
    Kok-boru is a traditional Central Asian horseback team game, similar to polo, in which riders compete to carry and score with a goat or sheep carcass.
  • 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: KOA
Triple: [Kona International Airport, IATAcode, KOA]
Generated description
KOA is the three-letter IATA airport code for Kona International Airport on the island of Hawaiʻi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KOA
Target entity description: KOA is the three-letter IATA airport code for Kona International Airport on the island of Hawaiʻi.
  • A. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • B. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • C. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • D. Koht
    Koht is a Norwegian surname most notably associated with historian and politician Halvdan Koht.
  • E. Kok-boru
    Kok-boru is a traditional Central Asian horseback team game, similar to polo, in which riders compete to carry and score with a goat or sheep carcass.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfecea6c8190b762bbfda8490e31 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655245c48190a37f4b6344a9a3dc completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66579c008190876ce89581337293 completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae668ef8bc819085ed1c83f447d396 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.