Triple

T13147113
Position Surface form Disambiguated ID Type / Status
Subject Å i Lofoten E312367 entity
Predicate hasName P744 FINISHED
Object Å
Å is a small, picturesque fishing village at the southern end of the Lofoten archipelago in Norway, known for its traditional rorbuer cabins and dramatic coastal scenery.
 E1024611 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: [Å i Lofoten, hasName, Å]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Å
Context triple: [Å i Lofoten, hasName, Å]
  • A. 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.
  • B. ÅA
    ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
  • C. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • D. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • E. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • 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: [Å i Lofoten, hasName, Å]
Generated description
Å is a small, picturesque fishing village at the southern end of the Lofoten archipelago in Norway, known for its traditional rorbuer cabins and dramatic coastal scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Å
Target entity description: Å is a small, picturesque fishing village at the southern end of the Lofoten archipelago in Norway, known for its traditional rorbuer cabins and dramatic coastal scenery.
  • A. 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.
  • B. ÅA
    ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
  • C. Al
    Al is a common shortened form of given names such as Albert, Alan, or Alexander.
  • D. AJ
    AJ is a leading peer-reviewed scientific journal in astronomy and astrophysics, publishing research on the structure and evolution of the universe.
  • E. AJ
    AJ is the vehicle registration code used on license plates for the emirate of Ajman in the United Arab Emirates.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae834908190aecb825db1d705ff completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6eb9ff2a881908004cc060b892f48 completed May 3, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec67be70819087d6c49a85d163bc completed May 3, 2026, 6:34 a.m.
Created at: April 9, 2026, 9:10 p.m.