Triple

T19998422
Position Surface form Disambiguated ID Type / Status
Subject Oleshky Sands E494254 entity
Predicate alternativeName P39 FINISHED
Object Oleshkivski Pisky
Oleshkivski Pisky is a large sand desert region in southern Ukraine, known for its extensive dunes and unique semi-arid landscape.
 E1405342 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: Oleshkivski Pisky | Statement: [Oleshky Sands, alternativeName, Oleshkivski Pisky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oleshkivski Pisky
Context triple: [Oleshky Sands, alternativeName, Oleshkivski Pisky]
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • C. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • D. Zimoveyskaya
    Zimoveyskaya is a rural Cossack stanitsa in southern Russia historically associated with the origins of rebel leader Yemelyan Pugachev.
  • E. Bezhitsa
    Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
  • 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: Oleshkivski Pisky
Triple: [Oleshky Sands, alternativeName, Oleshkivski Pisky]
Generated description
Oleshkivski Pisky is a large sand desert region in southern Ukraine, known for its extensive dunes and unique semi-arid landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oleshkivski Pisky
Target entity description: Oleshkivski Pisky is a large sand desert region in southern Ukraine, known for its extensive dunes and unique semi-arid landscape.
  • A. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • B. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • C. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • D. Zimoveyskaya
    Zimoveyskaya is a rural Cossack stanitsa in southern Russia historically associated with the origins of rebel leader Yemelyan Pugachev.
  • E. Bezhitsa
    Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe6827481909469129feb9aad91 completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080509d0748190a2703a2e3ddb0fc1 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806563e1c8190b702fcfc009c84d5 completed May 16, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0806e876c881909f0c30e5dd16ce20 completed May 16, 2026, 5:55 a.m.
Created at: April 11, 2026, 3:32 p.m.