Triple

T9026845
Position Surface form Disambiguated ID Type / Status
Subject Sam440ep E216068 entity
Predicate manufacturer P490 FINISHED
Object ACube Systems Srl E216066 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: ACube Systems Srl | Statement: [Sam440ep, manufacturer, ACube Systems Srl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACube Systems Srl
Context triple: [Sam440ep, manufacturer, ACube Systems Srl]
  • A. ACube Systems Srl chosen
    ACube Systems Srl is an Italian hardware company known for designing and manufacturing Amiga-compatible computers and related components.
  • B. Santa Bárbara Sistemas
    Santa Bárbara Sistemas is a Spanish defense contractor known for designing and producing armored vehicles and other military equipment.
  • C. Taurus Systems GmbH
    Taurus Systems GmbH is a German defense company specializing in the development and production of long-range precision-guided cruise missiles.
  • D. Granite Systems
    Granite Systems was a high-performance network switch startup co-founded by Sun Microsystems co-founder Andy Bechtolsheim and later acquired by Cisco Systems.
  • E. Quasar Technologies
    Quasar Technologies is the company that originally developed the Qt application development framework, widely used for creating cross-platform software.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7eb5b881908ace0c3327f06161 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbbf786081908df45b4e615bbba9 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:07 p.m.