Triple

T31637529
Position Surface form Disambiguated ID Type / Status
Subject Triestina E807352 entity
Predicate geographicAreaOfRivalries P80695 FINISHED
Object northeastern Italy 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: northeastern Italy | Statement: [Triestina, geographicAreaOfRivalries, northeastern Italy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicAreaOfRivalries
Context triple: [Triestina, geographicAreaOfRivalries, northeastern Italy]
  • A. rivalryRegion chosen
    Indicates a competitive or adversarial relationship that exists between entities within a specific geographic or regional context.
  • B. countryOfRivalry
    Indicates that one entity is a country with which another entity has a relationship of rivalry or adversarial competition.
  • C. associatedRivalry
    Indicates a relationship where one entity is linked to another as its rival, competitor, or opposing counterpart.
  • D. countryRivalryContext
    Indicates a relationship where two countries are in a state of rivalry, competition, or conflict within a specific political, historical, or strategic context.
  • E. hasLocalRivalry
    Indicates that there is an ongoing competitive or adversarial relationship between entities that are geographically close or share the same local area.
  • 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_69f348d892948190915f8facacb9568c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
Created at: April 30, 2026, 10:48 p.m.