Triple

T36299093
Position Surface form Disambiguated ID Type / Status
Subject Kvasiny E893454 entity
Predicate hasKeyEmployer P192732 FINISHED
Object Škoda Auto NE NERFINISHED

How this triple was built (2 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: Škoda Auto | Statement: [Kvasiny, hasKeyEmployer, Škoda Auto]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyEmployer
Context triple: [Kvasiny, hasKeyEmployer, Škoda Auto]
  • A. hasAuthorEmployer
    Indicates that the specified organization or entity is the employer of the author in question.
  • B. namedForEmployer
    Indicates that an entity is named after, or in honor of, its employer.
  • C. hasTitleHolderEmployer
    Indicates that an entity serving as a title holder is employed by or works for a particular employer.
  • D. hasKeyOfWork
    Indicates that one entity possesses or is associated with the key (tonal center) in which a work (such as a musical composition) is set.
  • E. hasFatherEmployer
    Indicates that the employer of a person’s father is related to or associated with that person.
  • F. None of above. chosen

Provenance (4 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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd2839880c819099a7a89783f2270e completed May 8, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69fd23dc5da48190ae8ba08947d34956 completed May 7, 2026, 11:44 p.m.
PDg Predicate description generation batch_69fd28379d2c8190903ba228ee1cc756 completed May 8, 2026, 12:03 a.m.
Created at: May 3, 2026, 4:09 p.m.