Triple

T1040347
Position Surface form Disambiguated ID Type / Status
Subject Academy of Sciences of Albania E22455 entity
Predicate shortName P43 FINISHED
Object ASA
ASA is the commonly used abbreviation for the Academy of Sciences of Albania, the country’s leading scientific research and advisory institution.
 E120210 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: ASA | Statement: [Academy of Sciences of Albania, shortName, ASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASA
Context triple: [Academy of Sciences of Albania, shortName, ASA]
  • A. ASA
    ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
  • B. ASA
    ASA is the ICAO airline designator used to identify Alaska Airlines in international aviation operations and communications.
  • C. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • D. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • E. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • 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: ASA
Triple: [Academy of Sciences of Albania, shortName, ASA]
Generated description
ASA is the commonly used abbreviation for the Academy of Sciences of Albania, the country’s leading scientific research and advisory institution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASA
Target entity description: ASA is the commonly used abbreviation for the Academy of Sciences of Albania, the country’s leading scientific research and advisory institution.
  • A. ASA
    ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
  • B. ASA
    ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
  • C. ASA
    ASA is the ICAO airline designator used to identify Alaska Airlines in international aviation operations and communications.
  • D. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • E. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82e4d2c81909ca1264852baf04d completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc58d8c8190b9dc7a4bc986abcb completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3cf534008190a034d71c90f35efd completed March 7, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac3d61a0c48190b619b3049df33512 completed March 7, 2026, 2:59 p.m.
Created at: March 1, 2026, 7:41 p.m.