Triple

T1020784
Position Surface form Disambiguated ID Type / Status
Subject Northern Ontario E22034 entity
Predicate largestCity P235 FINISHED
Object Sudbury E122673 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: Sudbury | Statement: [Northern Ontario, largestCity, Sudbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudbury
Context triple: [Northern Ontario, largestCity, Sudbury]
  • A. Sudbury chosen
    Sudbury is a major city in northern Ontario, Canada, known for its mining industry and numerous surrounding lakes.
  • B. Sudbury, Massachusetts
    Sudbury, Massachusetts is a historic New England town west of Boston known for its colonial heritage, affluent residential character, and preserved rural landscapes.
  • C. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • D. Haverhill
    Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
  • E. Framingham
    Framingham is a suburban city in eastern Massachusetts known for its residential communities, retail centers, and location along major routes west of Boston.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dd76b081909ed4d2f7adb6480d completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4292482c81909bf39cd0bb288599 completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:41 p.m.