Triple

T23269312
Position Surface form Disambiguated ID Type / Status
Subject Assergi E588244 entity
Predicate countrySubdivision P766 FINISHED
Object Italy–Abruzzo E69244 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: Italy–Abruzzo | Statement: [Assergi, countrySubdivision, Italy–Abruzzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy–Abruzzo
Context triple: [Assergi, countrySubdivision, Italy–Abruzzo]
  • A. D’Abruzzo
    D’Abruzzo is an Italian surname associated with actor Robert Alda, reflecting his family’s Abruzzese heritage.
  • B. Abruzzo chosen
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • C. Italy
    Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
  • D. Italy
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • E. Il Lombardia
    Il Lombardia is one of professional road cycling’s five prestigious Monuments, a historic one-day classic held in Italy and renowned for its hilly, scenic route and late-season timing.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957219188190b30bceffad1542da completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7797a481909c56589d1d3292ea completed May 19, 2026, 10:46 a.m.
Created at: April 17, 2026, 4:45 p.m.