Triple

T5569485
Position Surface form Disambiguated ID Type / Status
Subject Riverside E145961 entity
Predicate city P40 FINISHED
Object Newton E172860 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: Newton | Statement: [Riverside, city, Newton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton
Context triple: [Riverside, city, Newton]
  • A. Newton
    Newton is a suburban city in Massachusetts known for its residential neighborhoods, strong public schools, and proximity to Boston.
  • B. Newton chosen
    Newton is a small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
  • C. Newton
    Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
  • D. Isaac Newton
    Isaac Newton was a 17th-century English mathematician, physicist, and natural philosopher whose formulation of classical mechanics and universal gravitation laid the foundations of modern science.
  • E. Sir Isaac Newton (the newt)
    Sir Isaac Newton (the newt) is a minor anthropomorphic amphibian character in Beatrix Potter’s children’s story "The Tale of Mr. Jeremy Fisher."
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0204f0d288190b9d4884665ba9116 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059f006e081908c332f0470f38374 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:36 p.m.