Triple

T14038762
Position Surface form Disambiguated ID Type / Status
Subject Pilkington E337781 entity
Predicate hasBrand P1500 FINISHED
Object Pilkington Pyrostop E337781 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: Pilkington Pyrostop | Statement: [Pilkington, hasBrand, Pilkington Pyrostop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilkington Pyrostop
Context triple: [Pilkington, hasBrand, Pilkington Pyrostop]
  • A. Pilkington glass company chosen
    Pilkington glass company is a major British glass manufacturer renowned for pioneering the float glass process and supplying glass products worldwide.
  • B. Polglase
    Polglase is a surname most notably associated with Van Nest Polglase, an American art director prominent in early Hollywood cinema.
  • C. Pyrex
    Pyrex is a programming language designed to make it easier to write Python extension modules in C-like syntax, serving as an early precursor to tools like Cython.
  • D. Corning
    Corning is a small city in Tehama County, California, known historically for its olive production and agricultural economy.
  • E. Corning
    Corning is a small city in New York State best known as the longtime home of Corning Incorporated and its historic glassmaking and museum.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30ee374081908b6b5e8f81dd90f2 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd099b7788190a7c309dba450e58f completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.