Triple

T5377878
Position Surface form Disambiguated ID Type / Status
Subject Shelby Moore Cullom E113006 entity
Predicate stateRepresentedInHouse P8865 FINISHED
Object Illinois E13723 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: Illinois | Statement: [Shelby Moore Cullom, stateRepresentedInHouse, Illinois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illinois
Context triple: [Shelby Moore Cullom, stateRepresentedInHouse, 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. Como, Illinois
    Como, Illinois is a small unincorporated community in Whiteside County that forms part of the Sterling Micropolitan Statistical Area.
  • C. Illinois and Indiana
    Illinois and Indiana are neighboring Midwestern U.S. states whose shared boundary is partly defined by the Ohio River.
  • D. Indiana
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • E. Iowa and Illinois
    Iowa and Illinois are neighboring Midwestern U.S. states whose shared eastern and western boundaries, respectively, are largely defined by the Mississippi River.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a96fba481909659b13425951068 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 2:03 p.m.