Triple

T7624369
Position Surface form Disambiguated ID Type / Status
Subject Emilian E172587 entity
Predicate differentFrom P1612 FINISHED
Object Standard Italian E3588 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: Standard Italian | Statement: [Emilian, differentFrom, Standard Italian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Italian
Context triple: [Emilian, differentFrom, Standard Italian]
  • A. The Italian
    The Italian is a 1797 Gothic novel by Ann Radcliffe, renowned for its suspenseful plot, atmospheric settings, and exploration of religious and psychological themes.
  • B. Italian language chosen
    The Italian language is a Romance language spoken primarily in Italy and parts of Switzerland, known for its Latin roots, melodic sound, and central role in art, music, and culinary culture.
  • C. Italian
    Italian refers to a person or cultural identity associated with Italy, its language, traditions, and national heritage.
  • D. Milanese
    Milanese is a Western Lombard dialect spoken primarily in and around the city of Milan in northern Italy.
  • E. Piemontese
    Piemontese is a Romance language spoken primarily in Italy’s Piedmont region, distinct from standard Italian and recognized for its own rich literary and cultural tradition.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6648608190a9203b98b76209aa completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870a00f8c8190935ee9b3054ada90 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:56 p.m.