Triple

T21921260
Position Surface form Disambiguated ID Type / Status
Subject John Farson House E541319 entity
Predicate hasState P35 FINISHED
Object 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: Illinois | Statement: [John Farson House, hasState, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illinois
Context triple: [John Farson House, hasState, Illinois]
  • A. Illinois chosen
    Illinois is a Midwestern U.S. state known for its major metropolis Chicago, diverse economy, and significant political and transportation influence.
  • B. Illinois 47
    Illinois 47 is a north–south state highway in Illinois that runs through both rural areas and growing suburban communities, serving as a key regional route.
  • C. Ohio, Illinois
    Ohio, Illinois is a small rural village in Bureau County known for its agricultural surroundings and quiet small-town character.
  • D. Como, Illinois
    Como, Illinois is a small unincorporated community in Whiteside County that forms part of the Sterling Micropolitan Statistical Area.
  • E. Illinois and Indiana
    Illinois and Indiana are neighboring Midwestern U.S. states whose shared boundary is partly defined by the Ohio River.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233c29008190b84ae551b14eb2db completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:45 p.m.