Triple

T13766215
Position Surface form Disambiguated ID Type / Status
Subject Province of Ascoli Piceno E330748 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Piceno E70891 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: Piceno | Statement: [Province of Ascoli Piceno, hasHistoricalRegion, Piceno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piceno
Context triple: [Province of Ascoli Piceno, hasHistoricalRegion, Piceno]
  • A. Belmonte Piceno
    Belmonte Piceno is a small historic hilltop town in Italy’s Marche region, known for its scenic countryside setting and archaeological heritage.
  • B. Picenum chosen
    Picenum was an ancient region on the Adriatic coast of central Italy, inhabited by the Picentes people and later incorporated into the Roman Republic.
  • C. Le Murge
    Le Murge is a karstic plateau region in Apulia, southern Italy, known for its rocky landscapes, traditional rural settlements, and historic agricultural practices.
  • D. Vinchio
    Vinchio is a small village in Italy’s Piedmont region, known for its vineyards and location within the historic Monferrato wine-producing area.
  • E. D’Abruzzo
    D’Abruzzo is an Italian surname associated with actor Robert Alda, reflecting his family’s Abruzzese heritage.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7e59188190ad28707ba363e341 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:10 p.m.