Triple

T31505725
Position Surface form Disambiguated ID Type / Status
Subject PKN Orlen E803811 entity
Predicate hasServiceStationsIn P42501 FINISHED
Object Poland 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: Poland | Statement: [PKN Orlen, hasServiceStationsIn, Poland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasServiceStationsIn
Context triple: [PKN Orlen, hasServiceStationsIn, Poland]
  • A. hasServiceStationNetworkIn chosen
    Indicates that an entity operates or maintains a network of service stations within a specified geographic area or region.
  • B. hasFuelServices
    Indicates that one entity provides or is equipped with fuel-related services or facilities for another entity.
  • C. hasMaintenanceShops
    Indicates that an entity operates, controls, or is associated with one or more maintenance shops.
  • D. hasPumpingStation
    Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
  • E. hasMajorServiceCenter
    Indicates that an entity hosts or contains a primary or significant service facility that supports operations or customers.
  • F. None of above.

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_69f348ceb0a48190ae7feca263b6296c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69ff16775a9881909d26dbc1f0ef3e1c completed May 9, 2026, 11:11 a.m.
PD Predicate disambiguation batch_69ff158e61708190a1c581d0d306cfce completed May 9, 2026, 11:07 a.m.
Created at: April 30, 2026, 9:47 p.m.