Triple

T17772818
Position Surface form Disambiguated ID Type / Status
Subject Obolonsko–Teremkivska line E443683 entity
Predicate hasStation P35 FINISHED
Object Pochaina
Pochaina is a station on the Kyiv Metro system in Ukraine, serving the Obolonsko–Teremkivska line.
 E1288080 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: Pochaina | Statement: [Obolonsko–Teremkivska line, hasStation, Pochaina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pochaina
Context triple: [Obolonsko–Teremkivska line, hasStation, Pochaina]
  • A. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • B. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • C. Pouni
    Pouni is a town in the Reasi district of the Jammu and Kashmir region of India, serving as one of its local commercial and administrative centers.
  • D. Potaissa
    Potaissa is the ancient Roman name of the modern city of Turda in present-day Romania, known historically as a significant military and administrative center in the province of Dacia.
  • E. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • 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: Pochaina
Triple: [Obolonsko–Teremkivska line, hasStation, Pochaina]
Generated description
Pochaina is a station on the Kyiv Metro system in Ukraine, serving the Obolonsko–Teremkivska line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pochaina
Target entity description: Pochaina is a station on the Kyiv Metro system in Ukraine, serving the Obolonsko–Teremkivska line.
  • A. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • B. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • C. Pouni
    Pouni is a town in the Reasi district of the Jammu and Kashmir region of India, serving as one of its local commercial and administrative centers.
  • D. Potaissa
    Potaissa is the ancient Roman name of the modern city of Turda in present-day Romania, known historically as a significant military and administrative center in the province of Dacia.
  • E. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • 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_6a02f82fee188190a357a205f4bc82b8 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02fa6328b0819090161648248729f1 completed May 12, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_6a02faad0bb48190ac01fe6d79600e61 completed May 12, 2026, 10:02 a.m.
Created at: April 10, 2026, 10:12 a.m.