Triple

T1829907
Position Surface form Disambiguated ID Type / Status
Subject Southwest Finland E40737 entity
Predicate containsMunicipality P852 FINISHED
Object Aura
Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
 E206569 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: Aura | Statement: [Southwest Finland, containsMunicipality, Aura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aura
Context triple: [Southwest Finland, containsMunicipality, Aura]
  • A. Aura
    Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
  • B. Aura Music
    Aura Music is a music-related entity associated with Puerto Rican reggaeton and Latin trap artist Ozuna, likely involved in the production or promotion of his work.
  • C. Aria
    Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
  • D. Dani Ardor
    Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
  • E. URA
    URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
  • 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: Aura
Triple: [Southwest Finland, containsMunicipality, Aura]
Generated description
Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aura
Target entity description: Aura is a small municipality in southwestern Finland known for its rural landscapes and proximity to the city of Turku.
  • A. Aura
    Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
  • B. Aura Music
    Aura Music is a music-related entity associated with Puerto Rican reggaeton and Latin trap artist Ozuna, likely involved in the production or promotion of his work.
  • C. Aria
    Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
  • D. Dani Ardor
    Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
  • E. URA
    URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b24f448190a3aa5a85a9106d71 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcc55db8481909b5680230a61a4c1 completed March 8, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_69adccf2b56c8190bf2de8f8bcbb4837 completed March 8, 2026, 7:24 p.m.
Created at: March 4, 2026, 7:32 p.m.