Triple

T14915973
Position Surface form Disambiguated ID Type / Status
Subject Xenia Simons Miller E371382 entity
Predicate residence P75 FINISHED
Object Columbus, Indiana E871164 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: Columbus, Indiana | Statement: [Xenia Simons Miller, residence, Columbus, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus, Indiana
Context triple: [Xenia Simons Miller, residence, Columbus, Indiana]
  • A. Columbus, Indiana chosen
    Columbus, Indiana is a small Midwestern city renowned for its exceptional collection of modernist architecture and public art.
  • B. Kokomo, Indiana
    Kokomo, Indiana is a mid-sized industrial city in central Indiana known historically for its automotive manufacturing and technological innovation.
  • C. Carmel, Indiana
    Carmel, Indiana is a rapidly growing suburban city north of Indianapolis known for its affluent communities, extensive roundabout system, and vibrant arts and business districts.
  • D. Boston, Indiana
    Boston, Indiana is a small rural community located in Wayne County in the eastern part of the state near the Ohio border.
  • E. Atlanta, Indiana
    Atlanta, Indiana is a small rural town in central Indiana known for its close-knit community and annual New Earth Festival.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9976bc888190a050c2502d1f8e81 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 2:31 a.m.