Triple

T7959471
Position Surface form Disambiguated ID Type / Status
Subject Suid-Afrikaanse Akademie vir Wetenskap en Kuns E184824 entity
Predicate shortName P43 FINISHED
Object SAAWK
SAAWK is the abbreviation for the Suid-Afrikaanse Akademie vir Wetenskap en Kuns, a South African academy dedicated to promoting Afrikaans language, science, and the arts.
 E704056 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: SAAWK | Statement: [Suid-Afrikaanse Akademie vir Wetenskap en Kuns, shortName, SAAWK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAAWK
Context triple: [Suid-Afrikaanse Akademie vir Wetenskap en Kuns, shortName, SAAWK]
  • A. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • B. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • C. KSAW
    KSAW is the ICAO airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • D. SAW
    SAW is the IATA airport code for Sabiha Gökçen International Airport, a major international airport serving Istanbul, Turkey.
  • E. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • 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: SAAWK
Triple: [Suid-Afrikaanse Akademie vir Wetenskap en Kuns, shortName, SAAWK]
Generated description
SAAWK is the abbreviation for the Suid-Afrikaanse Akademie vir Wetenskap en Kuns, a South African academy dedicated to promoting Afrikaans language, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAAWK
Target entity description: SAAWK is the abbreviation for the Suid-Afrikaanse Akademie vir Wetenskap en Kuns, a South African academy dedicated to promoting Afrikaans language, science, and the arts.
  • A. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • B. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • C. KSAW
    KSAW is the ICAO airport code for Sawyer International Airport, a public airport serving the Marquette, Michigan area in the United States.
  • D. SAW
    SAW is the IATA airport code for Sabiha Gökçen International Airport, a major international airport serving Istanbul, Turkey.
  • E. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b80050c81909b2db95ade495052 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe07d31a881909e891fdd73c4467b completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cbe554dfd881909edf2c20a7035f17 completed March 31, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69cc3429f4148190981d30c3cc4c3c9a completed March 31, 2026, 8:52 p.m.
Created at: March 30, 2026, 5:11 p.m.