Triple

T9711281
Position Surface form Disambiguated ID Type / Status
Subject Alvar Aalto Vase E235027 entity
Predicate associatedWith P37 FINISHED
Object Iittala E255236 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: Iittala | Statement: [Alvar Aalto Vase, associatedWith, Iittala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iittala
Context triple: [Alvar Aalto Vase, associatedWith, Iittala]
  • A. Iittala chosen
    Iittala is a Finnish design brand renowned for its high-quality glassware and timeless Scandinavian tableware and home objects.
  • B. Tikkurila
    Tikkurila is a major urban district and administrative center in the city of Vantaa, Finland, known for its transport hub, services, and cultural institutions.
  • C. Artek
    Artek is a Finnish design company renowned for its modernist furniture and interiors that blend functionalism with organic forms.
  • D. Kartell
    Kartell is an Italian design company renowned for its innovative, often colorful furniture and home accessories made primarily from plastic, created in collaboration with prominent designers.
  • E. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0591208190aa57cc9e2aebafb7 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8876748190b0b5efb12031f532 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.