Triple

T11977851
Position Surface form Disambiguated ID Type / Status
Subject Åström E285080 entity
Predicate hasDiacritic P2270 FINISHED
Object Å
Å is a letter used in several Scandinavian and other Northern European languages, representing a distinct vowel sound and appearing in alphabets such as Swedish, Danish, and Norwegian.
 E957992 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: Å | Statement: [Åström, hasDiacritic, Å]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Å
Context triple: [Åström, hasDiacritic, Å]
  • A. ÅA
    ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
  • B. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • C. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • D. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • E. An
    An is the ancient Mesopotamian sky god and supreme deity of the Sumerian pantheon, often regarded as the divine authority from which other gods derive their power.
  • 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: Å
Triple: [Åström, hasDiacritic, Å]
Generated description
Å is a letter used in several Scandinavian and other Northern European languages, representing a distinct vowel sound and appearing in alphabets such as Swedish, Danish, and Norwegian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Å
Target entity description: Å is a letter used in several Scandinavian and other Northern European languages, representing a distinct vowel sound and appearing in alphabets such as Swedish, Danish, and Norwegian.
  • A. ÅA
    ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
  • B. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • C. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • D. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • E. An
    An is the ancient Mesopotamian sky god and supreme deity of the Sumerian pantheon, often regarded as the divine authority from which other gods derive their power.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471f6afc48190856a0f7c486b28aa completed May 1, 2026, 9:27 a.m.
NEDg Description generation batch_69f47b7ac4048190ae09f18f1a90338f completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47db91f38819092b7b5c5e2bb489b completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.