Triple

T5729074
Position Surface form Disambiguated ID Type / Status
Subject Beskid Wyspowy E126336 entity
Predicate contains P35 FINISHED
Object Lubomir
Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
E540459 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: Lubomir | Statement: [Beskid Wyspowy, contains, Lubomir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubomir
Context triple: [Beskid Wyspowy, contains, Lubomir]
  • A. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • B. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • C. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • D. Lubart
    Lubart was a medieval Ruthenian prince of the Gediminid dynasty who ruled Volhynia and is notably associated with the construction and legacy of Lubart’s Castle in present-day Ukraine.
  • E. Josef Jandač
    Josef Jandač is a Czech ice hockey coach best known for leading top clubs and serving as head coach of the Czech national team.
  • 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: Lubomir
Triple: [Beskid Wyspowy, contains, Lubomir]
Generated description
Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lubomir
Target entity description: Lubomir is a mountain peak in southern Poland’s Beskid Wyspowy range, known for its scenic views and hiking trails.
  • A. Miroslav
    Miroslav is a common Slavic male given name, notably borne by Slovak ice hockey star Miroslav Šatan.
  • B. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • C. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • D. Lubart
    Lubart was a medieval Ruthenian prince of the Gediminid dynasty who ruled Volhynia and is notably associated with the construction and legacy of Lubart’s Castle in present-day Ukraine.
  • E. Josef Jandač
    Josef Jandač is a Czech ice hockey coach best known for leading top clubs and serving as head coach of the Czech national team.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0250d5f4c8190a36b43ef5e6c7837 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a8cca748190b471c842fd2ce218 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05b7c3bd48190ad8303bf1bb3ec6a completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c22c31081909a9a67d99e7c728c completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:47 p.m.