Triple

T10816332
Position Surface form Disambiguated ID Type / Status
Subject Venini E255237 entity
Predicate usesMaterial P618 FINISHED
Object Murano glass E117926 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: Murano glass | Statement: [Venini, usesMaterial, Murano glass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murano glass
Context triple: [Venini, usesMaterial, Murano glass]
  • A. Venetian glass chosen
    Venetian glass is a renowned style of artistic glassware, traditionally handcrafted on the island of Murano near Venice, celebrated for its intricate designs, vibrant colors, and exceptional craftsmanship.
  • B. The Murano
    The Murano is a modern high-rise residential condominium tower in Philadelphia known for its sleek glass facade and upscale urban living.
  • C. Favrile glass
    Favrile glass is a type of richly colored, iridescent art glass developed by Louis Comfort Tiffany that became a hallmark of American decorative arts in the late 19th and early 20th centuries.
  • D. Murano
    Murano is a small island in the Venetian Lagoon renowned worldwide for its centuries-old tradition of glassmaking.
  • E. Murano
    Murano is an OpenStack project that provides an application catalog and orchestration framework for deploying and managing complex applications on OpenStack clouds.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de855799748190b51745a198daa8d0 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:18 p.m.