Triple

T5937954
Position Surface form Disambiguated ID Type / Status
Subject Arrow E132089 entity
Predicate translationOf P2303 FINISHED
Object Freccia E132088 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: Freccia | Statement: [Arrow, translationOf, Freccia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freccia
Context triple: [Arrow, translationOf, Freccia]
  • A. Freccia chosen
    Freccia is the nickname of the Fiat G.50, an Italian World War II-era fighter aircraft known for being one of Italy’s first all-metal monoplane fighters.
  • B. Turati
    Turati is an Italian surname most notably associated with Filippo Turati, a leading socialist politician and intellectual in early 20th-century Italy.
  • C. Croce
    Croce is the surname of Benedetto Croce, the influential Italian philosopher, historian, and critic associated with idealism and liberal thought.
  • D. Carmagnola
    Carmagnola is a historic town in the Piedmont region of northern Italy, known for its agricultural traditions and Baroque architecture.
  • E. Venice–Florence railway
    The Venice–Florence railway is a major Italian rail line connecting the historic cities of Venice and Florence, serving as a key corridor for both high-speed and regional passenger services in northeastern and central Italy.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038edd1b88190a608f9bf8a8090cf completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3b68a1c81908a219ffee8300e02 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4:01 p.m.