Triple

T7471664
Position Surface form Disambiguated ID Type / Status
Subject Kish International Airport E176521 entity
Predicate IATAcode P418 FINISHED
Object KIH
KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
E667333 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: KIH | Statement: [Kish International Airport, IATAcode, KIH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIH
Context triple: [Kish International Airport, IATAcode, KIH]
  • A. KHiO
    KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
  • B. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • C. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • D. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • E. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • 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: KIH
Triple: [Kish International Airport, IATAcode, KIH]
Generated description
KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KIH
Target entity description: KIH is the IATA airport code for Kish International Airport, a commercial airport serving Kish Island in Iran.
  • A. KHiO
    KHiO is Norway’s largest public institution for higher education in the visual and performing arts, located in Oslo.
  • B. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • C. KI
    KI is the regional vehicle registration code used on license plates to identify vehicles registered in Kyiv Oblast, Ukraine.
  • D. KI
    KI is the vehicle registration code used on license plates for the German city of Kiel.
  • E. KI
    KI is the abbreviation for the Karolinska Institute, a renowned Swedish medical university known for its leading research and role in selecting Nobel laureates in Physiology or Medicine.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f415b5cc81909e1e097c90f460b6 completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83480a40c8190a7ae3e08022735a1 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c835ce5bbc8190b968535c16cfc660 completed March 28, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_69c836a80eb081908b9937944fe18661 completed March 28, 2026, 8:14 p.m.
Created at: March 27, 2026, 3:41 p.m.