Triple

T7531086
Position Surface form Disambiguated ID Type / Status
Subject Khostinsky District E178023 entity
Predicate contains P35 FINISHED
Object Matsesta
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
 E669524 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: Matsesta | Statement: [Khostinsky District, contains, Matsesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matsesta
Context triple: [Khostinsky District, contains, Matsesta]
  • A. Matanvat
    Matanvat is a village where the Nese language is traditionally spoken.
  • B. Metsakasti
    Metsakasti is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • C. Menapii
    The Menapii were an ancient Belgic tribe inhabiting parts of what are now northern France and Belgium, known from Julius Caesar’s accounts of the Gallic Wars.
  • D. Masbatenyo
    Masbatenyo is a Central Philippine language spoken primarily on Masbate Island in the Philippines, closely related to Hiligaynon and Cebuano.
  • E. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • 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: Matsesta
Triple: [Khostinsky District, contains, Matsesta]
Generated description
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matsesta
Target entity description: Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
  • A. Matanvat
    Matanvat is a village where the Nese language is traditionally spoken.
  • B. Metsakasti
    Metsakasti is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • C. Menapii
    The Menapii were an ancient Belgic tribe inhabiting parts of what are now northern France and Belgium, known from Julius Caesar’s accounts of the Gallic Wars.
  • D. Masbatenyo
    Masbatenyo is a Central Philippine language spoken primarily on Masbate Island in the Philippines, closely related to Hiligaynon and Cebuano.
  • E. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8217b1c8190b3db453cee0fc4fd completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8463e08ac8190abd4d19b58067233 completed March 28, 2026, 9:21 p.m.
NEDg Description generation batch_69c846b326088190b93a32c70bcc97ca completed March 28, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c8479490688190bc56b5a21d779b18 completed March 28, 2026, 9:26 p.m.
Created at: March 27, 2026, 3:47 p.m.