Triple

T11501106
Position Surface form Disambiguated ID Type / Status
Subject LLBG E272664 entity
Predicate isHubFor P423 FINISHED
Object Arkia
Arkia is an Israeli airline that operates domestic and international flights, serving as one of the country's major carriers.
 E929380 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: Arkia | Statement: [LLBG, isHubFor, Arkia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arkia
Context triple: [LLBG, isHubFor, Arkia]
  • A. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Arkasa
    Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
  • D. Arka
    Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
  • E. Atara
    Atara is a Palestinian village in the central West Bank, known for its hilltop location and traditional rural character.
  • 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: Arkia
Triple: [LLBG, isHubFor, Arkia]
Generated description
Arkia is an Israeli airline that operates domestic and international flights, serving as one of the country's major carriers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arkia
Target entity description: Arkia is an Israeli airline that operates domestic and international flights, serving as one of the country's major carriers.
  • A. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Arkasa
    Arkasa is a coastal village on the Greek island of Karpathos, known for its scenic beaches and nearby ancient archaeological sites.
  • D. Arka
    Arka is a Polish sports club best known for its professional football team based in the port city of Gdynia.
  • E. Atara
    Atara is a Palestinian village in the central West Bank, known for its hilltop location and traditional rural character.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
NEDg Description generation batch_69e610a82c308190927158dbd566b0d4 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e61853a3b48190b0d132761e9be69c completed April 20, 2026, 12:13 p.m.
Created at: April 8, 2026, 9:36 p.m.