Triple

T8855973
Position Surface form Disambiguated ID Type / Status
Subject Åbo Akademi University E210756 entity
Predicate hasAbbreviation P43 FINISHED
Object ÅA
ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
 E762583 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: ÅA | Statement: [Åbo Akademi University, hasAbbreviation, ÅA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ÅA
Context triple: [Åbo Akademi University, hasAbbreviation, ÅA]
  • A. Aa
    The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
  • B. AAY
    AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
  • C. AAAA
    AAAA is the commonly used acronym for the Addis Ababa Action Agenda, a global framework adopted in 2015 to guide financing for sustainable development.
  • D. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • E. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • 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: ÅA
Triple: [Åbo Akademi University, hasAbbreviation, ÅA]
Generated description
ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ÅA
Target entity description: ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
  • A. Aa
    The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
  • B. AAY
    AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
  • C. AAAA
    AAAA is the commonly used acronym for the Addis Ababa Action Agenda, a global framework adopted in 2015 to guide financing for sustainable development.
  • D. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • E. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c7f51881909c847989f31f203a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09e6d388190ba8f5d8516b43bc4 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa246ade0819097fe80a77f32592b completed April 3, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_69cfa2c4833c8190b67c4545af056292 completed April 3, 2026, 11:21 a.m.
Created at: March 30, 2026, 6:50 p.m.