Triple

T1162845
Position Surface form Disambiguated ID Type / Status
Subject Hiiumaa E24531 entity
Predicate contains P35 FINISHED
Object Käina
Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
 E141439 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: Käina | Statement: [Hiiumaa, contains, Käina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Käina
Context triple: [Hiiumaa, contains, Käina]
  • A. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • B. Kioni
    Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
  • C. Keda
    Keda is a small town and administrative center in the mountainous Adjara region of southwestern Georgia.
  • D. Kuchela
    Kuchela is a revered devotee and childhood friend of Lord Krishna in Hindu tradition, celebrated for his poverty, humility, and unwavering devotion.
  • E. Myene
    Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
  • 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: Käina
Triple: [Hiiumaa, contains, Käina]
Generated description
Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Käina
Target entity description: Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • A. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • B. Kioni
    Kioni is a picturesque seaside village on the Greek island of Ithaca, known for its traditional architecture and scenic harbor.
  • C. Keda
    Keda is a small town and administrative center in the mountainous Adjara region of southwestern Georgia.
  • D. Kuchela
    Kuchela is a revered devotee and childhood friend of Lord Krishna in Hindu tradition, celebrated for his poverty, humility, and unwavering devotion.
  • E. Myene
    Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb2bb84819088bd94e91c10fb0c completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a03f6a0819082cd0e0ea74bb5da completed March 7, 2026, 8:26 p.m.
NEDg Description generation batch_69ac8a7df71c819097c344553d101bca completed March 7, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69ac8ad15e7c8190b596ee5f4b9d0469 completed March 7, 2026, 8:30 p.m.
Created at: March 1, 2026, 7:45 p.m.