Triple

T28453236
Position Surface form Disambiguated ID Type / Status
Subject Argentine railway system E716635 entity
Predicate nationalizationEvent P18594 FINISHED
Object 1948 nationalization of foreign-owned railways LITERAL 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: 1948 nationalization of foreign-owned railways | Statement: [Argentine railway system, nationalizationEvent, 1948 nationalization of foreign-owned railways]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nationalizationEvent
Context triple: [Argentine railway system, nationalizationEvent, 1948 nationalization of foreign-owned railways]
  • A. nationalizationReason
    Indicates the reason or justification for which an entity is nationalized by a state or government.
  • B. nationalised
    Indicates that control or ownership of an entity has been transferred from private or non-state hands to the government or state.
  • C. nationalisedOn
    Indicates the date or point in time when an entity was taken into state ownership or control by a national government.
  • D. reasonForNationalization
    Indicates the underlying cause or justification for which an entity was nationalized by a state.
  • E. nationalisationYear chosen
    Indicates the year in which an entity was taken into state ownership or control through nationalisation.
  • 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_69efd6b76f8c8190a7ba908aca280942 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f727afd5d88190ad48735cd1b32787 completed May 3, 2026, 10:47 a.m.
PD Predicate disambiguation batch_69f72737c42c8190a3f781a5e98868ff completed May 3, 2026, 10:45 a.m.
Created at: April 28, 2026, 1:53 a.m.