Triple

T4661724
Position Surface form Disambiguated ID Type / Status
Subject Royal Academy of Science, Letters and Fine Arts of Belgium E102547 entity
Predicate shortName P43 FINISHED
Object ARB
ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
 E458530 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: ARB | Statement: [Royal Academy of Science, Letters and Fine Arts of Belgium, shortName, ARB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARB
Context triple: [Royal Academy of Science, Letters and Fine Arts of Belgium, shortName, ARB]
  • A. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • B. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • C. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • D. ABL
    ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
  • E. ARS
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • 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: ARB
Triple: [Royal Academy of Science, Letters and Fine Arts of Belgium, shortName, ARB]
Generated description
ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARB
Target entity description: ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
  • A. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • B. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • C. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • D. ABL
    ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
  • E. ARS
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632b7fb88190821f213620719d6b completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfafcd3908190aabf7975017ce337 completed March 21, 2026, 1:57 a.m.
NEDg Description generation batch_69bdfc7b84108190af39c7780f702745 completed March 21, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69bdfd3856b48190a44f49da5fde38f6 completed March 21, 2026, 2:06 a.m.
Created at: March 20, 2026, 1:15 p.m.