Triple

T15290139
Position Surface form Disambiguated ID Type / Status
Subject Vidzeme E365504 entity
Predicate containsCity P294 FINISHED
Object Saulkrasti
Saulkrasti is a coastal town in northern Latvia known for its sandy Baltic Sea beaches and scenic sunsets.
E1147893 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: Saulkrasti | Statement: [Vidzeme, containsCity, Saulkrasti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saulkrasti
Context triple: [Vidzeme, containsCity, Saulkrasti]
  • A. Kraainem
    Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
  • B. Ristna
    Ristna is a small settlement in Estonia located on the island of Hiiumaa, known for its coastal scenery and proximity to the historic Ristna Lighthouse.
  • C. 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.
  • D. Rausu
    Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
  • E. Kraanerg
    Kraanerg is a large-scale avant-garde work for orchestra and tape by Iannis Xenakis, known for its complex rhythms, dense textures, and integration of electronic sound.
  • 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: Saulkrasti
Triple: [Vidzeme, containsCity, Saulkrasti]
Generated description
Saulkrasti is a coastal town in northern Latvia known for its sandy Baltic Sea beaches and scenic sunsets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saulkrasti
Target entity description: Saulkrasti is a coastal town in northern Latvia known for its sandy Baltic Sea beaches and scenic sunsets.
  • A. Kraainem
    Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
  • B. Ristna
    Ristna is a small settlement in Estonia located on the island of Hiiumaa, known for its coastal scenery and proximity to the historic Ristna Lighthouse.
  • C. 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.
  • D. Rausu
    Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
  • E. Kraanerg
    Kraanerg is a large-scale avant-garde work for orchestra and tape by Iannis Xenakis, known for its complex rhythms, dense textures, and integration of electronic sound.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7d4da4819080f101c3a525ea11 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef050d1588190942e1d3f3083607a completed May 9, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69fef19d55588190b816d4c37f3a7010 completed May 9, 2026, 8:34 a.m.
Created at: April 10, 2026, 3:15 a.m.