Triple

T877226
Position Surface form Disambiguated ID Type / Status
Subject Portugal à Frente E18945 entity
Predicate politicalSpectrumSide P7253 FINISHED
Object right 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: right | Statement: [Portugal à Frente, politicalSpectrumSide, right]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalSpectrumSide
Context triple: [Portugal à Frente, politicalSpectrumSide, right]
  • A. politicalSpectrumPosition chosen
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • B. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • C. politicalSideDepicted
    Indicates that one entity portrays, represents, or visually depicts the political alignment, ideology, or side associated with another entity.
  • D. politicalSpectrumCoverage
    Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
  • E. politicalWing
    Indicates that one entity functions as a faction, branch, or ideological wing within the broader structure of another political organization or movement.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb06ea88190962502172d434eb4 completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8d47c081909b02a53e305ccf7a completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.