Triple

T2872737
Position Surface form Disambiguated ID Type / Status
Subject António de Oliveira Salazar E56801 entity
Predicate maintainedStance P31392 FINISHED
Object neutrality during World War II 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: neutrality during World War II | Statement: [António de Oliveira Salazar, maintainedStance, neutrality during World War II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maintainedStance
Context triple: [António de Oliveira Salazar, maintainedStance, neutrality during World War II]
  • A. soughtToMaintain chosen
    Indicates an entity’s deliberate effort or intention to keep another entity or condition in its existing state over time.
  • B. hasFightingStance
    Indicates that an entity adopts or is characterized by a particular combat or fighting posture.
  • C. maintainsThrough
    Indicates that one entity preserves, upholds, or continues a state, condition, or relationship by means of another specified entity, process, or medium.
  • D. maintainedFor
    Indicates that something is kept in a particular state, condition, or operation for the benefit, use, or purpose of another entity.
  • E. maintainedWithin
    Indicates that one entity is kept, preserved, or sustained inside the boundaries or context of another entity.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abdfe59ef88190b8bdfdd03e8965f3 completed March 7, 2026, 8:20 a.m.
PD Predicate disambiguation batch_69abdd142e4c8190b424cb0c5ff40d04 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:03 p.m.