Triple

T20919639
Position Surface form Disambiguated ID Type / Status
Subject Mount Morris College E515170 entity
Predicate namedAfter P63 FINISHED
Object Mount Morris, Illinois NE NERFINISHED

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: Mount Morris, Illinois | Statement: [Mount Morris College, namedAfter, Mount Morris, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Morris, Illinois
Context triple: [Mount Morris College, namedAfter, Mount Morris, Illinois]
  • A. Mount Morris, Illinois chosen
    Mount Morris, Illinois is a small village in northern Illinois known for its historic campus, community festivals, and location within Ogle County.
  • B. Morris, Illinois
    Morris, Illinois is a small city in northeastern Illinois that serves as the administrative and commercial hub of Grundy County.
  • C. Morrisonville, Illinois
    Morrisonville, Illinois is a small village in central Illinois known as a rural residential community within the Springfield metropolitan area.
  • D. Morrison, Illinois
    Morrison, Illinois is a small city in Whiteside County that serves as the county seat and lies within northwestern Illinois.
  • E. Mount Vernon, Illinois
    Mount Vernon, Illinois is a small city in southern Illinois that serves as the county seat of Jefferson County and a regional hub for transportation and commerce.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec66593c819091ecf0c553e0aead completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.