Triple

T6215231
Position Surface form Disambiguated ID Type / Status
Subject Stadler FLIRT E138968 entity
Predicate operator P179 FINISHED
Object PKP E479810 NE FINISHED

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: PKP | Statement: [Stadler FLIRT, operator, PKP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PKP
Context triple: [Stadler FLIRT, operator, PKP]
  • A. PKP IC chosen
    PKP IC is the commonly used abbreviation for PKP Intercity, Poland’s primary operator of long-distance passenger rail services.
  • B. PKKP
    PKKP is the abbreviation for Polska Krajowa Kasa Pożyczkowa, a historical Polish national loan office that played a key role in the country’s early financial and monetary system.
  • C. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • D. PK
    PK is a compact bitmap font file format traditionally used by TeX systems to store rasterized glyphs generated from METAFONT sources.
  • E. PKN
    PKN is the main Protestant denomination in the Netherlands, formed by the merger of several historic Reformed and Lutheran churches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a0e0488190b71b42386bacf982 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dacf1788190a655c39bd248fde8 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.