Triple

T21377543
Position Surface form Disambiguated ID Type / Status
Subject Interstate 465 E527250 entity
Predicate passesNear P416 FINISHED
Object Carmel, 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: Carmel, Indiana | Statement: [Interstate 465, passesNear, Carmel, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel, Indiana
Context triple: [Interstate 465, passesNear, 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 (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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0c8768c8190ad7cddf5cd1d06f7 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.