Triple

T21375466
Position Surface form Disambiguated ID Type / Status
Subject Calderone Glacier E527188 entity
Predicate countrySubdivision P766 FINISHED
Object Region of Abruzzo NE NERFINISHED

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: Region of Abruzzo | Statement: [Calderone Glacier, countrySubdivision, Region of Abruzzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region of Abruzzo
Context triple: [Calderone Glacier, countrySubdivision, Region of Abruzzo]
  • A. Abruzzo chosen
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • B. D’Abruzzo
    D’Abruzzo is an Italian surname associated with actor Robert Alda, reflecting his family’s Abruzzese heritage.
  • C. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • D. 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.
  • E. Molise
    Molise is a small, predominantly rural region in southern Italy known for its mountainous landscapes, traditional agriculture, and relatively low population density.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bb031988190ae587730a2131a50 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:11 p.m.