Triple

T28539127
Position Surface form Disambiguated ID Type / Status
Subject Triple Alliance War E722244 entity
Predicate impactOnParaguay P8692 FINISHED
Object loss of significant portions of territory to Brazil and Argentina 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: loss of significant portions of territory to Brazil and Argentina | Statement: [Triple Alliance War, impactOnParaguay, loss of significant portions of territory to Brazil and Argentina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impactOnParaguay
Context triple: [Triple Alliance War, impactOnParaguay, loss of significant portions of territory to Brazil and Argentina]
  • A. ArgentinaGroupDImpact
    Indicates the effect or influence that Argentina’s performance or status has within Group D in a given context (such as a tournament or competition).
  • B. countryCityParaguay
    Indicates that a city is located within the country of Paraguay.
  • C. ArgentinaConfederation
    Indicates a relationship in which an entity is associated with, belongs to, or is part of the Argentina Confederation.
  • D. affectedCountry chosen
    Indicates that a particular country is impacted or influenced by an event, action, or condition.
  • E. ArgentinaGoals
    Indicates the number of goals scored by Argentina in a given match or context.
  • 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_69f01a5e42348190b1ffbca26e739c84 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 28, 2026, 3:34 a.m.