Triple

T16866911
Position Surface form Disambiguated ID Type / Status
Subject Rātslaukums E410065 entity
Predicate streetBorder P101629 FINISHED
Object Mazā Jauniela
Mazā Jauniela is a small historic street in Riga’s Old Town, known for its picturesque medieval architecture and cobblestone charm.
E1237851 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: Mazā Jauniela | Statement: [Rātslaukums, streetBorder, Mazā Jauniela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazā Jauniela
Context triple: [Rātslaukums, streetBorder, Mazā Jauniela]
  • A. Milda
    Milda is a Baltic pagan goddess associated with love, freedom, and courtship in Lithuanian mythology.
  • B. Lija
    Lija is a small, picturesque village in central Malta known for its traditional architecture, quiet residential character, and annual fireworks displays.
  • C. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • D. Laima
    Laima is a major Baltic goddess associated with fate, luck, and childbirth in traditional Latvian and Lithuanian mythology.
  • E. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other 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: Mazā Jauniela
Triple: [Rātslaukums, streetBorder, Mazā Jauniela]
Generated description
Mazā Jauniela is a small historic street in Riga’s Old Town, known for its picturesque medieval architecture and cobblestone charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mazā Jauniela
Target entity description: Mazā Jauniela is a small historic street in Riga’s Old Town, known for its picturesque medieval architecture and cobblestone charm.
  • A. Milda
    Milda is a Baltic pagan goddess associated with love, freedom, and courtship in Lithuanian mythology.
  • B. Lija
    Lija is a small, picturesque village in central Malta known for its traditional architecture, quiet residential character, and annual fireworks displays.
  • C. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • D. Laima
    Laima is a major Baltic goddess associated with fate, luck, and childbirth in traditional Latvian and Lithuanian mythology.
  • E. Lujza
    Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50983148190a116f7e7017ccb1c completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a929b081909d3a5a680ae93a78 completed May 10, 2026, 5:38 p.m.
NEDg Description generation batch_6a00c355f4108190a4209599bf5f50da completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c413314881909e308588af09ce2a completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:24 a.m.