Triple

T18736951
Position Surface form Disambiguated ID Type / Status
Subject Kresta Bay E458187 entity
Predicate hasSettlementOnShore P16159 FINISHED
Object Kresta
Kresta is a settlement located on the shore of Kresta Bay in the Russian Far East.
 E1350909 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: Kresta | Statement: [Kresta Bay, hasSettlementOnShore, Kresta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kresta
Context triple: [Kresta Bay, hasSettlementOnShore, Kresta]
  • A. Crisa
    Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
  • B. Griva
    Griva is a neighborhood in present-day Latvia that is historically notable as the birthplace of the influential Jewish rabbi and thinker Abraham Isaac Kook.
  • C. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • D. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • E. Crenna
    Crenna is a surname most notably associated with American actor and director Richard Crenna, known for his roles in film and television from the mid-20th century onward.
  • 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: Kresta
Triple: [Kresta Bay, hasSettlementOnShore, Kresta]
Generated description
Kresta is a settlement located on the shore of Kresta Bay in the Russian Far East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kresta
Target entity description: Kresta is a settlement located on the shore of Kresta Bay in the Russian Far East.
  • A. Crisa
    Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
  • B. Griva
    Griva is a neighborhood in present-day Latvia that is historically notable as the birthplace of the influential Jewish rabbi and thinker Abraham Isaac Kook.
  • C. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • D. Klyntar
    Klyntar are an alien symbiote species in Marvel Comics known for bonding with hosts to enhance their abilities while often exerting a corrupting influence.
  • E. Crenna
    Crenna is a surname most notably associated with American actor and director Richard Crenna, known for his roles in film and television from the mid-20th century onward.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fa8a438819089862d4283a72f84 completed May 14, 2026, 10:10 a.m.
NEDg Description generation batch_6a05a161c8e88190a6f9c9abe3314487 completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1cb500481908608daee7537dd0c completed May 14, 2026, 10:19 a.m.
Created at: April 10, 2026, 11:51 a.m.