Triple

T16600412
Position Surface form Disambiguated ID Type / Status
Subject Paelignian E403315 entity
Predicate languageFamily P1047 FINISHED
Object Italic E403317 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: Italic | Statement: [Paelignian, languageFamily, Italic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italic
Context triple: [Paelignian, languageFamily, Italic]
  • A. Italic chosen
    Italic is a branch of the Indo-European language family that includes Latin and its descendants, such as the Romance languages.
  • B. Italic world
    The Italic world refers to the mosaic of ancient peoples, languages, and cultures that inhabited the Italian Peninsula before and during the rise of Rome.
  • C. Old Italic script
    Old Italic script is an ancient family of writing systems used on the Italian peninsula, from which the Latin alphabet ultimately evolved.
  • D. Linea Gotica
    Linea Gotica was a major German defensive line in northern Italy during World War II, designed to halt the Allied advance through the Italian peninsula.
  • E. Arial
    Arial is a widely used sans-serif typeface known for its clean, modern appearance and extensive use in digital and print media.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d75772c8190b02aef02ea6788e1 completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a48c088190b6585e42dcd73705 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.