Triple

T7403794
Position Surface form Disambiguated ID Type / Status
Subject Puffing Billy E170814 entity
Predicate owner P347 FINISHED
Object Science Museum Group E4160 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: Science Museum Group | Statement: [Puffing Billy, owner, Science Museum Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Science Museum Group
Context triple: [Puffing Billy, owner, Science Museum Group]
  • A. Science Museum Group chosen
    The Science Museum Group is a UK-based family of national museums dedicated to the history and contemporary practice of science, technology, engineering, medicine, and industry.
  • B. Science Museum
    The Science Museum is a major educational institution in Tokyo that offers interactive exhibits and hands-on displays focused on science and technology.
  • C. Science Museum, London
    The Science Museum, London is a major museum in South Kensington renowned for its extensive collections and interactive exhibits on science, technology, engineering, and medicine.
  • D. Science Museum station
    Science Museum station is a metro station in Shenzhen, China, serving passengers on the city’s Line 1.
  • E. National Science and Media Museum
    The National Science and Media Museum is a UK museum in Bradford dedicated to the history and impact of photography, film, television, and digital media.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2701b108190be39174d4534f231 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111540f08190919bc9d9670f5ef2 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.