Triple

T11286765
Position Surface form Disambiguated ID Type / Status
Subject Valparaiso, Indiana E267211 entity
Predicate county P75 FINISHED
Object Porter County E37584 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: Porter County | Statement: [Valparaiso, Indiana, county, Porter County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porter County
Context triple: [Valparaiso, Indiana, county, Porter County]
  • A. Hendricks County
    Hendricks County is a county in central Indiana, United States, located just west of Indianapolis and known for its rapidly growing suburban communities.
  • B. Porter County, Indiana chosen
    Porter County, Indiana is a county in northwestern Indiana along Lake Michigan that forms part of the greater Chicago metropolitan region.
  • C. Allen County
    Allen County is a county in northeastern Indiana that includes the city of Fort Wayne and serves as an important regional economic and cultural center.
  • D. Tippecanoe County
    Tippecanoe County is a county in northwestern Indiana known for being home to the cities of Lafayette and West Lafayette, including Purdue University.
  • E. LaPorte County, Indiana
    LaPorte County, Indiana is a county in northwestern Indiana known for its mix of industrial communities, agricultural areas, and proximity to Lake Michigan and the Chicago metropolitan region.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e8a6df121c8190a8522ce0e366013c completed April 22, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:32 p.m.