Triple

T12595215
Position Surface form Disambiguated ID Type / Status
Subject Chopok E300714 entity
Predicate hasCableCarConnection P8378 FINISHED
Object Kosodrevina
Kosodrevina is a mountain area and ski resort station in the Low Tatras of Slovakia, serving as a key mid-mountain hub on the slopes of Chopok.
E991813 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: Kosodrevina | Statement: [Chopok, hasCableCarConnection, Kosodrevina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kosodrevina
Context triple: [Chopok, hasCableCarConnection, Kosodrevina]
  • A. Kosere
    "Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
  • B. Kumodraž
    Kumodraž is a suburban neighborhood of Belgrade, Serbia, known for its residential character and location within the municipality of Voždovac.
  • C. Rovno
    Rovno is the former Russian and Polish name for the Ukrainian city now known as Rivne, a regional center in western Ukraine.
  • D. Koroba
    "Koroba" is a popular Afrobeats song by Nigerian singer Tiwa Savage, known for its catchy rhythm and socially conscious lyrics.
  • E. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • 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: Kosodrevina
Triple: [Chopok, hasCableCarConnection, Kosodrevina]
Generated description
Kosodrevina is a mountain area and ski resort station in the Low Tatras of Slovakia, serving as a key mid-mountain hub on the slopes of Chopok.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kosodrevina
Target entity description: Kosodrevina is a mountain area and ski resort station in the Low Tatras of Slovakia, serving as a key mid-mountain hub on the slopes of Chopok.
  • A. Kosere
    "Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
  • B. Kumodraž
    Kumodraž is a suburban neighborhood of Belgrade, Serbia, known for its residential character and location within the municipality of Voždovac.
  • C. Rovno
    Rovno is the former Russian and Polish name for the Ukrainian city now known as Rivne, a regional center in western Ukraine.
  • D. Koroba
    "Koroba" is a popular Afrobeats song by Nigerian singer Tiwa Savage, known for its catchy rhythm and socially conscious lyrics.
  • E. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:08 p.m.