Triple

T17306021
Position Surface form Disambiguated ID Type / Status
Subject Ezio Auditore da Firenze E420166 entity
Predicate createdBy P806 FINISHED
Object Ubisoft Montreal E388315 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: Ubisoft Montreal | Statement: [Ezio Auditore da Firenze, createdBy, Ubisoft Montreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubisoft Montreal
Context triple: [Ezio Auditore da Firenze, createdBy, Ubisoft Montreal]
  • A. Ubisoft Montreal chosen
    Ubisoft Montreal is a major Canadian video game development studio known for creating flagship franchises such as Assassin’s Creed and Far Cry.
  • B. Ubisoft Toronto
    Ubisoft Toronto is a Canadian video game development studio known for working on major Ubisoft franchises such as Splinter Cell and Far Cry.
  • C. Ubisoft Quebec
    Ubisoft Quebec is a Canadian video game development studio known for creating major titles in the Assassin’s Creed franchise.
  • D. Ubisoft Paris
    Ubisoft Paris is a French video game development studio known for working on major Ubisoft franchises such as Just Dance and Tom Clancy’s Ghost Recon.
  • E. Ubisoft Berlin
    Ubisoft Berlin is a German game development studio within the Ubisoft group, contributing to major AAA titles as part of the company’s global production network.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e0c1b881908aa2b6b4d8ac04b6 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.