Triple

T12165620
Position Surface form Disambiguated ID Type / Status
Subject Arik Air E289825 entity
Predicate ICAOcode P419 FINISHED
Object ARA
ARA is the ICAO airline designator assigned to Arik Air, a Nigerian commercial airline.
 E966598 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: ARA | Statement: [Arik Air, ICAOcode, ARA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARA
Context triple: [Arik Air, ICAOcode, ARA]
  • A. ARA
    ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
  • B. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • C. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • D. ARC
    ARC is the official abbreviation used to designate ships and assets of the Colombian Navy (Armada de la República de Colombia).
  • E. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • 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: ARA
Triple: [Arik Air, ICAOcode, ARA]
Generated description
ARA is the ICAO airline designator assigned to Arik Air, a Nigerian commercial airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARA
Target entity description: ARA is the ICAO airline designator assigned to Arik Air, a Nigerian commercial airline.
  • A. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • B. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • C. ARA
    ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
  • D. ARC
    ARC is the official abbreviation used to designate ships and assets of the Colombian Navy (Armada de la República de Colombia).
  • E. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a2716081909620a9d11cfcc2d8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f60232d89881909f254da6deb7f321 completed May 2, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:50 p.m.