Triple

T12594912
Position Surface form Disambiguated ID Type / Status
Subject Taraškievica E300707 entity
Predicate alternativeName P39 FINISHED
Object тарашкевіца
тарашкевіца is the traditional pre-reform orthography of the Belarusian language, widely used in literature, media, and by parts of the Belarusian diaspora.
 E991785 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: тарашкевіца | Statement: [Taraškievica, alternativeName, тарашкевіца]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: тарашкевіца
Context triple: [Taraškievica, alternativeName, тарашкевіца]
  • A. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • B. Zhashkiv
    Zhashkiv is a small town in central Ukraine known for its agricultural surroundings and location within Cherkasy Oblast.
  • C. Tachov
    Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
  • D. Krasnystaw
    Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
  • E. Borshchiv
    Borshchiv is a small town in western Ukraine known for its traditional embroidered clothing and historical churches.
  • 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: тарашкевіца
Triple: [Taraškievica, alternativeName, тарашкевіца]
Generated description
тарашкевіца is the traditional pre-reform orthography of the Belarusian language, widely used in literature, media, and by parts of the Belarusian diaspora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: тарашкевіца
Target entity description: тарашкевіца is the traditional pre-reform orthography of the Belarusian language, widely used in literature, media, and by parts of the Belarusian diaspora.
  • A. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • B. Zhashkiv
    Zhashkiv is a small town in central Ukraine known for its agricultural surroundings and location within Cherkasy Oblast.
  • C. Tachov
    Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
  • D. Krasnystaw
    Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
  • E. Borshchiv
    Borshchiv is a small town in western Ukraine known for its traditional embroidered clothing and historical churches.
  • 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.