Triple

T10092368
Position Surface form Disambiguated ID Type / Status
Subject Constanța County E215372 entity
Predicate contains P35 FINISHED
Object Olimp
Olimp is a seaside resort town on Romania’s Black Sea coast, known for its beaches and holiday accommodations.
 E839849 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: Olimp | Statement: [Constanța County, contains, Olimp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olimp
Context triple: [Constanța County, contains, Olimp]
  • A. Olib
    Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
  • B. Olivera
    Olivera is a feminine given name of Slavic origin, commonly used in various Balkan countries.
  • C. Oros
    Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • D. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • E. Finikas
    Finikas is a coastal village and seaside resort on the Greek island of Syros, known for its sheltered bay and marina.
  • 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: Olimp
Triple: [Constanța County, contains, Olimp]
Generated description
Olimp is a seaside resort town on Romania’s Black Sea coast, known for its beaches and holiday accommodations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olimp
Target entity description: Olimp is a seaside resort town on Romania’s Black Sea coast, known for its beaches and holiday accommodations.
  • A. Olib
    Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
  • B. Olivera
    Olivera is a feminine given name of Slavic origin, commonly used in various Balkan countries.
  • C. Oros
    Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
  • D. Oliseh
    Oliseh is the surname of Sunday Oliseh, a former Nigerian international footballer and midfielder who later became a coach.
  • E. Finikas
    Finikas is a coastal village and seaside resort on the Greek island of Syros, known for its sheltered bay and marina.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05c3c0c8190927580717429a4e5 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6aecc488190a9af098f687327ed completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7bb88348190a39908b34b7419b2 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b81e7b948190baa417186aac284b completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 9:01 p.m.