Triple

T2687931
Position Surface form Disambiguated ID Type / Status
Subject Waban station E57528 entity
Predicate city P40 FINISHED
Object Newton E200 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: [Waban station, city, Newton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton
Context triple: [Waban station, city, Newton]
  • A. Newton
    Newton is a common English surname most famously associated with figures such as physicist Sir Isaac Newton and activist Huey P. Newton.
  • B. Newton chosen
    Newton is a suburban city in Massachusetts known for its residential neighborhoods, strong public schools, and proximity to Boston.
  • C. Newton
    Newton is a small settlement in West Lothian, Scotland, known primarily as a residential village within the Edinburgh commuter belt.
  • 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. newton
    The newton is the SI unit of force, defined as the amount of force required to accelerate a one-kilogram mass by one meter per second squared.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f1ba3081909a349a2f30f8f9c9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0741bc48190adffe6cfae831e26 completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.