Triple

T33540427
Position Surface form Disambiguated ID Type / Status
Subject Signore di Milano E859054 entity
Predicate hasTypeOfRulership P198835 FINISHED
Object signoria 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: signoria | Statement: [Signore di Milano, hasTypeOfRulership, signoria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfRulership
Context triple: [Signore di Milano, hasTypeOfRulership, signoria]
  • A. hasTypeOfRuler
    Indicates that one entity serves as the specific kind or category of ruler (e.g., monarch, dictator, president) that characterizes or governs another entity.
  • B. hasRulingPeople
    Indicates that a group or entity serves as the governing or ruling authority over another entity.
  • C. rulerOf
    Indicates that one entity holds governing authority or sovereignty over another entity, such as a person ruling a country or territory.
  • D. hasRulingCrown
    Indicates that one entity possesses or wears a crown that signifies authority or rulership over a domain or group.
  • E. typeOfOverlordship
    Indicates a hierarchical relationship in which one entity holds overlordship, or superior controlling authority, over another.
  • F. None of above. chosen

Provenance (4 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_69f3497a5be08190a39b12736899e034 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff0d80c0dc81909fbd12285c7a45c0 completed May 9, 2026, 10:33 a.m.
PD Predicate disambiguation batch_69ff0cd03e78819094895058f925fbfa completed May 9, 2026, 10:30 a.m.
PDg Predicate description generation batch_69ff0d800ee88190835e233d9e846cdb completed May 9, 2026, 10:33 a.m.
Created at: May 1, 2026, 1:39 a.m.