Triple

T3404915
Position Surface form Disambiguated ID Type / Status
Subject Union of Brussels E71747 entity
Predicate hasPoliticalCharacter P5316 FINISHED
Object anti-Spanish 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: anti-Spanish | Statement: [Union of Brussels, hasPoliticalCharacter, anti-Spanish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalCharacter
Context triple: [Union of Brussels, hasPoliticalCharacter, anti-Spanish]
  • A. hasPoliticalCharacteristic chosen
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • B. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • C. hasAuthorPoliticalActivity
    Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
  • D. hasPoliticalOfficeScope
    Indicates that a political office or position is limited to, defined within, or applicable to a specific jurisdiction, level, or scope of political authority.
  • E. isLinkedPoliticallyTo
    Indicates that there exists a political connection, alliance, or association between the entities, such that their political actions, interests, or affiliations are related or coordinated.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8eaa41c819095a4d51aec074649 completed March 8, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69adadfa73ac8190a163f93e88d217f8 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:14 p.m.