Triple

T9256031
Position Surface form Disambiguated ID Type / Status
Subject Propertius E222444 entity
Predicate birthPlace P1 FINISHED
Object Assisi region E35541 NE 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: Assisi region | Statement: [Propertius, birthPlace, Assisi region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assisi region
Context triple: [Propertius, birthPlace, Assisi region]
  • A. Umbria chosen
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • B. Abruzzo
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • C. D’Abruzzo
    D’Abruzzo is an Italian surname associated with actor Robert Alda, reflecting his family’s Abruzzese 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. Marche region
    The Marche region is a central-eastern Italian region on the Adriatic coast, known for its historic hill towns, Renaissance art, and role in early 20th-century political events such as the March on Rome.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b4e2048190af0d65b904677c36 completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e351e7a08190b4abb8747a84871b completed April 4, 2026, 10:09 a.m.
Created at: March 30, 2026, 7:32 p.m.