Triple

T5432479
Position Surface form Disambiguated ID Type / Status
Subject Barbara Aland E121528 entity
Predicate familyName P18 FINISHED
Object Aland
Aland is a surname most notably associated with German biblical scholar Barbara Aland.
E522417 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: Aland | Statement: [Barbara Aland, familyName, Aland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aland
Context triple: [Barbara Aland, familyName, Aland]
  • A. Åland Islands
    The Åland Islands are an autonomous, Swedish-speaking archipelago region of Finland known for their strategic location in the Baltic Sea and extensive self-governance.
  • B. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • C. Öland
    Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
  • D. Saaremaa
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • E. Frisian Islands
    The Frisian Islands are a chain of low-lying barrier islands along the North Sea coasts of the Netherlands, Germany, and Denmark, known for their dunes, tidal flats, and protected natural landscapes.
  • 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: Aland
Triple: [Barbara Aland, familyName, Aland]
Generated description
Aland is a surname most notably associated with German biblical scholar Barbara Aland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aland
Target entity description: Aland is a surname most notably associated with German biblical scholar Barbara Aland.
  • A. Åland Islands
    The Åland Islands are an autonomous, Swedish-speaking archipelago region of Finland known for their strategic location in the Baltic Sea and extensive self-governance.
  • B. Gotland
    Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
  • C. Öland
    Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
  • D. Saaremaa
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • E. Frisian Islands
    The Frisian Islands are a chain of low-lying barrier islands along the North Sea coasts of the Netherlands, Germany, and Denmark, known for their dunes, tidal flats, and protected natural landscapes.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8840ade481909dae2eecc77d73b8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf487db2bc81908822d3adadaff0dd completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf497a88b48190b87bf175fe224211 completed March 22, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a1f6e1c8190a9ae94e45fb16cf9 completed March 22, 2026, 1:47 a.m.
Created at: March 20, 2026, 2:06 p.m.