Triple

T17111996
Position Surface form Disambiguated ID Type / Status
Subject Alignment (1984) E415247 entity
Predicate politicalSpectrumRelativeTo P7253 FINISHED
Object to the left of Likud 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: to the left of Likud | Statement: [Alignment (1984), politicalSpectrumRelativeTo, to the left of Likud]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalSpectrumRelativeTo
Context triple: [Alignment (1984), politicalSpectrumRelativeTo, to the left of Likud]
  • A. politicalSpectrumPosition chosen
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • B. politicalSpectrumCoverage
    Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
  • C. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • D. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • E. deFactoPoliticalCenter
    Indicates that a location functions as the practical or informal center of political power or administration, even if it is not officially designated as such.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69e35d6b1b988190a8d6b6fe78c35e59 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:35 a.m.