Triple

T1383910
Position Surface form Disambiguated ID Type / Status
Subject Bothnian Bay E29799 entity
Predicate hasIsland P970 FINISHED
Object Hailuoto
Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
E157691 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: Hailuoto | Statement: [Bothnian Bay, hasIsland, Hailuoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hailuoto
Context triple: [Bothnian Bay, hasIsland, Hailuoto]
  • A. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • B. Valaam Islands
    The Valaam Islands are a scenic archipelago in northwestern Russia best known for the historic Valaam Monastery and their rugged natural landscapes.
  • C. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • D. Taipalsaari
    Taipalsaari is a rural municipality in South Karelia, southeastern Finland, known for its lake-rich landscapes along the shores of Lake Saimaa.
  • E. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside 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: Hailuoto
Triple: [Bothnian Bay, hasIsland, Hailuoto]
Generated description
Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hailuoto
Target entity description: Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
  • A. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • B. Valaam Islands
    The Valaam Islands are a scenic archipelago in northwestern Russia best known for the historic Valaam Monastery and their rugged natural landscapes.
  • C. Eivissa
    Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
  • D. Taipalsaari
    Taipalsaari is a rural municipality in South Karelia, southeastern Finland, known for its lake-rich landscapes along the shores of Lake Saimaa.
  • E. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3377b608190b915e6871c1fe86e completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48e046c8190bc4820d6c4ce907d completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd57bf87c8190ad22de7b5636fcfc completed March 8, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69acd5e54e98819084ba0022ca64ff43 completed March 8, 2026, 1:50 a.m.
Created at: March 1, 2026, 7:59 p.m.