Triple

T23042649
Position Surface form Disambiguated ID Type / Status
Subject Indiana State Road 32 E573780 entity
Predicate connectsCity P4245 FINISHED
Object Anderson, Indiana 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: Anderson, Indiana | Statement: [Indiana State Road 32, connectsCity, Anderson, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anderson, Indiana
Context triple: [Indiana State Road 32, connectsCity, Anderson, Indiana]
  • A. Anderson, Indiana chosen
    Anderson, Indiana is a mid-sized city in central Indiana known historically for its automotive industry roots and as the county seat of Madison County.
  • B. Madison, Indiana
    Madison, Indiana is a historic river town on the Ohio River known for its well-preserved 19th-century architecture and vibrant small-town cultural life.
  • C. Atlanta, Indiana
    Atlanta, Indiana is a small rural town in central Indiana known for its close-knit community and annual New Earth Festival.
  • D. Arlington, Indiana
    Arlington, Indiana is a small unincorporated rural community located in Rush County in the central part of the state.
  • E. Westville, Indiana
    Westville, Indiana is a small town in northwestern Indiana known for its rural character and proximity to larger cities like Michigan City and South Bend.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18516417081908bf747b20de23a75 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.