Triple

T15774865
Position Surface form Disambiguated ID Type / Status
Subject Polskie Koleje Państwowe E382463 entity
Predicate shortName P43 FINISHED
Object PKP
PKP is Poland’s state-owned national railway operator, responsible for much of the country’s passenger and freight rail transport infrastructure.
E1175646 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: PKP | Statement: [Polskie Koleje Państwowe, shortName, PKP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PKP
Context triple: [Polskie Koleje Państwowe, shortName, PKP]
  • A. PKP IC
    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 music producer best known for his work on DMX's influential debut album "It's Dark and Hell Is Hot."
  • E. PK
    PK is a compact bitmap font file format traditionally used by TeX systems to store rasterized glyphs generated from METAFONT sources.
  • 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: PKP
Triple: [Polskie Koleje Państwowe, shortName, PKP]
Generated description
PKP is Poland’s state-owned national railway operator, responsible for much of the country’s passenger and freight rail transport infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PKP
Target entity description: PKP is Poland’s state-owned national railway operator, responsible for much of the country’s passenger and freight rail transport infrastructure.
  • A. PKP IC
    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 a music producer best known for his work on DMX's influential debut album "It's Dark and Hell Is Hot."
  • D. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • E. PK
    PK is a compact bitmap font file format traditionally used by TeX systems to store rasterized glyphs generated from METAFONT sources.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05198c1588190a65e23c18443eb5c completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877e67b881908a67b9acc79d998f completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff88358e408190a8d7424fc495d4fa completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff88f192a08190acbc2c3fc98c65c8 completed May 9, 2026, 7:20 p.m.
Created at: April 10, 2026, 4:47 a.m.