Triple

T4393039
Position Surface form Disambiguated ID Type / Status
Subject .si E99410 entity
Predicate sponsoredBy P67 FINISHED
Object ARNES
ARNES is Slovenia’s Academic and Research Network organization that provides internet infrastructure and services to the country’s research, educational, and cultural institutions.
 E436112 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: ARNES | Statement: [.si, sponsoredBy, ARNES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARNES
Context triple: [.si, sponsoredBy, ARNES]
  • A. Armisen
    Armisen is the surname of Fred Armisen, an American comedian, actor, writer, and musician known for his work on Saturday Night Live and Portlandia.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • D. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • E. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • 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: ARNES
Triple: [.si, sponsoredBy, ARNES]
Generated description
ARNES is Slovenia’s Academic and Research Network organization that provides internet infrastructure and services to the country’s research, educational, and cultural institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARNES
Target entity description: ARNES is Slovenia’s Academic and Research Network organization that provides internet infrastructure and services to the country’s research, educational, and cultural institutions.
  • A. Armisen
    Armisen is the surname of Fred Armisen, an American comedian, actor, writer, and musician known for his work on Saturday Night Live and Portlandia.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • D. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • E. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e53385508190ac1261c44672070b completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e666bcbc819083bbb60309d689e7 completed March 14, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_69b5e6c780248190a2101f35f47ae374 completed March 14, 2026, 10:52 p.m.
Created at: March 12, 2026, 11:19 p.m.