Triple

T16626428
Position Surface form Disambiguated ID Type / Status
Subject Avriel Shull E403956 entity
Predicate basedIn P40 FINISHED
Object Carmel, Indiana E488842 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: Carmel, Indiana | Statement: [Avriel Shull, basedIn, Carmel, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel, Indiana
Context triple: [Avriel Shull, basedIn, Carmel, Indiana]
  • A. Carmel, Indiana chosen
    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.
  • B. Columbus, Indiana
    Columbus, Indiana is a small Midwestern city renowned for its exceptional collection of modernist architecture and public art.
  • C. 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.
  • D. Kokomo, Indiana
    Kokomo, Indiana is a mid-sized industrial city in central Indiana known historically for its automotive manufacturing and technological innovation.
  • E. Culver, Indiana
    Culver, Indiana is a small town in northern Indiana best known as the home of the prestigious Culver Military Academy on the shores of Lake Maxinkuckee.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e375530ed081908337dc5c6360d733 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0123257b908190819986393cb35748 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:17 a.m.