Triple

T9101225
Position Surface form Disambiguated ID Type / Status
Subject IKAR E218159 entity
Predicate IATAcode P418 FINISHED
Object IK
IK is the IATA airport code for IKAR, identifying it within the international air transport system.
 E778183 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: IK | Statement: [IKAR, IATAcode, IK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IK
Context triple: [IKAR, IATAcode, IK]
  • A. IKE
    IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
  • B. 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.
  • 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. SK
    SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
  • 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: IK
Triple: [IKAR, IATAcode, IK]
Generated description
IK is the IATA airport code for IKAR, identifying it within the international air transport system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IK
Target entity description: IK is the IATA airport code for IKAR, identifying it within the international air transport system.
  • A. IKE
    IKE (Internet Key Exchange) is a protocol used to set up secure, authenticated communication channels and negotiate cryptographic keys, most notably for IPsec VPNs.
  • B. 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.
  • 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. SK
    SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc971435d08190b5007ed44ac0a364 completed April 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0182d8ea08190b4337a77b47019a5 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019666cb08190b66298ff86a7e1af completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a700ce48190868d445bde2462dc completed April 3, 2026, 7:52 p.m.
Created at: March 30, 2026, 7:15 p.m.