Triple

T3981636
Position Surface form Disambiguated ID Type / Status
Subject Vestini E85770 entity
Predicate modernRegionCorrespondence P36806 FINISHED
Object Abruzzo E69244 NE FINISHED

How this triple was built (3 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: Abruzzo | Statement: [Vestini, modernRegionCorrespondence, Abruzzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abruzzo
Context triple: [Vestini, modernRegionCorrespondence, Abruzzo]
  • A. Abruzzo chosen
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • B. Molise
    Molise is a small, predominantly rural region in southern Italy known for its mountainous landscapes, traditional agriculture, and relatively low population density.
  • C. La Marche
    La Marche is a historic province in central France known for its rural landscapes and role as a frontier region between major medieval territories.
  • D. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • E. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernRegionCorrespondence
Context triple: [Vestini, modernRegionCorrespondence, Abruzzo]
  • A. modernRegion
    Indicates that an entity is located within or associated with a contemporary, present-day geographic or administrative region.
  • B. historicalRegionCorrespondsTo chosen
    Indicates that a historical region matches or aligns with a specific region, territory, or administrative unit in terms of location, extent, or identity.
  • C. historicalRegionAssociation
    Indicates an association where an entity is or was located in, part of, or otherwise related to a specific historical region.
  • D. historicalRegion
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • E. historicalRegionCode
    Indicates that an entity is associated with a specific code identifying a historical region.
  • F. None of above.

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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be921df91881909c257fbd3c46073c completed March 21, 2026, 12:42 p.m.
PD Predicate disambiguation batch_69aef8f492ac819089dbb9436dbcdd2b completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.