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.