Triple

T5937928
Position Surface form Disambiguated ID Type / Status
Subject Freccia E132088 entity
Predicate designedBy P184 FINISHED
Object Giuseppe Gabrielli E176145 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: Giuseppe Gabrielli | Statement: [Freccia, designedBy, Giuseppe Gabrielli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuseppe Gabrielli
Context triple: [Freccia, designedBy, Giuseppe Gabrielli]
  • A. Giuseppe Gabrielli chosen
    Giuseppe Gabrielli was an Italian aeronautical engineer best known for designing several important military aircraft for Fiat before and during World War II.
  • B. Francesco Gonella
    Francesco Gonella was an Italian mountaineer after whom the high-altitude Rifugio Francesco Gonella in the Mont Blanc massif is named.
  • C. Giuseppe Boffa
    Giuseppe Boffa was an Italian communist politician, journalist, and historian known for his influential writings on Soviet and Italian political history.
  • D. Francesco Saverio Borrelli
    Francesco Saverio Borrelli was an Italian magistrate best known for leading the Milan prosecutors’ office during the landmark Mani Pulite (“Clean Hands”) anti-corruption investigations of the early 1990s.
  • E. Gaetano Russo
    Gaetano Russo was an Italian sculptor best known for creating prominent public monuments in the late 19th and early 20th centuries.
  • 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_69c9cd7f9b2c81908a1f77a9cc37a0be completed March 30, 2026, 1:10 a.m.
Created at: March 22, 2026, 4:01 p.m.