Triple

T17772824
Position Surface form Disambiguated ID Type / Status
Subject Obolonsko–Teremkivska line E443683 entity
Predicate hasStation P35 FINISHED
Object Olimpiiska
Olimpiiska is a Kyiv Metro station named after the nearby Olympic Stadium, serving passengers on one of the city’s main subway lines.
 E1287523 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: Olimpiiska | Statement: [Obolonsko–Teremkivska line, hasStation, Olimpiiska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olimpiiska
Context triple: [Obolonsko–Teremkivska line, hasStation, Olimpiiska]
  • A. OLYMPIC
    OLYMPIC is the radio callsign used by the Greek regional airline Olympic Air for its flight operations.
  • B. Olympic
    "Olympic" is a track by the pioneering British electronic music group 808 State, known for their influential role in the development of acid house and techno.
  • C. Olimpiade
    "Olimpiade" is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers and influential in the opera seria tradition.
  • D. Olympiada
    Olympiada is a coastal village in northern Greece known for its proximity to the ancient city of Stagira, birthplace of the philosopher Aristotle.
  • E. Olympiades
    Olympiades is a Paris Métro station in the 13th arrondissement that serves as the southern terminus of the automated Line 14.
  • 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: Olimpiiska
Triple: [Obolonsko–Teremkivska line, hasStation, Olimpiiska]
Generated description
Olimpiiska is a Kyiv Metro station named after the nearby Olympic Stadium, serving passengers on one of the city’s main subway lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olimpiiska
Target entity description: Olimpiiska is a Kyiv Metro station named after the nearby Olympic Stadium, serving passengers on one of the city’s main subway lines.
  • A. OLYMPIC
    OLYMPIC is the radio callsign used by the Greek regional airline Olympic Air for its flight operations.
  • B. Olympic
    "Olympic" is a track by the pioneering British electronic music group 808 State, known for their influential role in the development of acid house and techno.
  • C. Olimpiade
    "Olimpiade" is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers and influential in the opera seria tradition.
  • D. Olympiada
    Olympiada is a coastal village in northern Greece known for its proximity to the ancient city of Stagira, birthplace of the philosopher Aristotle.
  • E. Olympiades
    Olympiades is a Paris Métro station in the 13th arrondissement that serves as the southern terminus of the automated Line 14.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871a2130819081743ae89dddc64b completed April 19, 2026, 7:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc6004c819095f9b6284b015b8d completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f113a41c8190b17611eaa50516ca completed May 12, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1e980f4819087eb191e13396581 completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:12 a.m.