Triple

T9758366
Position Surface form Disambiguated ID Type / Status
Subject Fraunhofer Institute for Cognitive Systems IKS E236607 entity
Predicate abbreviation P43 FINISHED
Object IKS
IKS is a Fraunhofer research institute focused on developing safe, reliable, and intelligent cognitive systems and AI technologies for industry and society.
E818154 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: IKS | Statement: [Fraunhofer Institute for Cognitive Systems IKS, abbreviation, IKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IKS
Context triple: [Fraunhofer Institute for Cognitive Systems IKS, abbreviation, IKS]
  • A. IKS
    IKS is the IATA airport code for Tiksi Airport, which serves the settlement of Tiksi in the Sakha Republic of Russia.
  • B. IXS
    IXS is the three-letter IATA airport code assigned to Silchar Airport in Assam, India.
  • C. IK
    IK is the IATA airport code for IKAR, identifying it within the international air transport system.
  • D. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • E. IKSR
    IKSR is the German abbreviation for the International Commission for the Protection of the Rhine, an international body coordinating efforts to protect and sustainably manage the Rhine River and its basin.
  • 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: IKS
Triple: [Fraunhofer Institute for Cognitive Systems IKS, abbreviation, IKS]
Generated description
IKS is a Fraunhofer research institute focused on developing safe, reliable, and intelligent cognitive systems and AI technologies for industry and society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IKS
Target entity description: IKS is a Fraunhofer research institute focused on developing safe, reliable, and intelligent cognitive systems and AI technologies for industry and society.
  • A. IKS
    IKS is the IATA airport code for Tiksi Airport, which serves the settlement of Tiksi in the Sakha Republic of Russia.
  • B. IXS
    IXS is the three-letter IATA airport code assigned to Silchar Airport in Assam, India.
  • C. IK
    IK is the IATA airport code for IKAR, identifying it within the international air transport system.
  • D. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • E. IKSR
    IKSR is the German abbreviation for the International Commission for the Protection of the Rhine, an international body coordinating efforts to protect and sustainably manage the Rhine River and its basin.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda047d0408190b91f7195513da6e8 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b035c32c8190ad65f3d57d53a317 completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b0dde93881908fcec28de9cfa99d completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1bbe6108190af17b75f79c0f465 completed April 5, 2026, 12:50 a.m.
Created at: March 30, 2026, 8:24 p.m.