Triple

T18246049
Position Surface form Disambiguated ID Type / Status
Subject Kurzeme E436956 entity
Predicate containsTown P847 FINISHED
Object Pāvilosta
Pāvilosta is a small coastal town in western Latvia known for its Baltic Sea beaches, fishing heritage, and laid-back seaside atmosphere.
 E1326089 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: Pāvilosta | Statement: [Kurzeme, containsTown, Pāvilosta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pāvilosta
Context triple: [Kurzeme, containsTown, Pāvilosta]
  • A. Vasai
    Vasai is a historic coastal town in western India, near Mumbai, known for its strategic importance under Portuguese and later British rule and as the site of the 1802 Treaty of Bassein.
  • B. Paldiski
    Paldiski is a coastal town and former Soviet naval base in northwestern Estonia, located on the Pakri Peninsula by the Baltic Sea.
  • C. Jelgava
    Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
  • D. Reval
    Reval is the historical German name for Tallinn, the capital city and major port of present-day Estonia on the Baltic Sea.
  • E. Jūrmala
    Jūrmala is a popular Latvian resort city on the Gulf of Riga, known for its long sandy beaches, wooden architecture, and spa traditions.
  • 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: Pāvilosta
Triple: [Kurzeme, containsTown, Pāvilosta]
Generated description
Pāvilosta is a small coastal town in western Latvia known for its Baltic Sea beaches, fishing heritage, and laid-back seaside atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pāvilosta
Target entity description: Pāvilosta is a small coastal town in western Latvia known for its Baltic Sea beaches, fishing heritage, and laid-back seaside atmosphere.
  • A. Vasai
    Vasai is a historic coastal town in western India, near Mumbai, known for its strategic importance under Portuguese and later British rule and as the site of the 1802 Treaty of Bassein.
  • B. Paldiski
    Paldiski is a coastal town and former Soviet naval base in northwestern Estonia, located on the Pakri Peninsula by the Baltic Sea.
  • C. Jelgava
    Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
  • D. Reval
    Reval is the historical German name for Tallinn, the capital city and major port of present-day Estonia on the Baltic Sea.
  • E. Jūrmala
    Jūrmala is a popular Latvian resort city on the Gulf of Riga, known for its long sandy beaches, wooden architecture, and spa traditions.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e6fbac8190bf252c4337f50c29 completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f126c9881908d7fae71fe125164 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04403450f88190b4461502afdde13f completed May 13, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_6a044095d4b48190aeb30ecb37609da3 completed May 13, 2026, 9:12 a.m.
Created at: April 10, 2026, 10:33 a.m.