Triple

T20443838
Position Surface form Disambiguated ID Type / Status
Subject DuBois E501462 entity
Predicate hasNameVariant P457 FINISHED
Object City of DuBois E752600 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: City of DuBois | Statement: [DuBois, hasNameVariant, City of DuBois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of DuBois
Context triple: [DuBois, hasNameVariant, City of DuBois]
  • A. Meadville
    Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
  • B. DuBois, Pennsylvania chosen
    DuBois, Pennsylvania is a small city in Clearfield County known historically for its coal and lumber industries and as a regional commercial center in north-central Pennsylvania.
  • C. Wellsville
    Wellsville is a small city in northern Utah, United States, situated in Cache Valley near the Wellsville Mountains.
  • D. Mahoningtown
    Mahoningtown is a neighborhood and former independent community now incorporated into the city of New Castle in western Pennsylvania.
  • E. Brownsville, Pennsylvania
    Brownsville, Pennsylvania is a historic borough along the Monongahela River known for its early role in American westward expansion and riverboat commerce.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfa7dd08190883a37e3480b152c completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088401774081909ac697258222235b completed May 16, 2026, 2:49 p.m.
Created at: April 16, 2026, 11:32 a.m.