Triple

T23459171
Position Surface form Disambiguated ID Type / Status
Subject Camp Atterbury E568917 entity
Predicate nearbyCity P350 FINISHED
Object Edinburgh, 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: Edinburgh, Indiana | Statement: [Camp Atterbury, nearbyCity, Edinburgh, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edinburgh, Indiana
Context triple: [Camp Atterbury, nearbyCity, Edinburgh, Indiana]
  • A. Edinburgh, Indiana chosen
    Edinburgh, Indiana is a small town in southern Indiana known for its historic downtown and proximity to the Camp Atterbury military training facility and outlet shopping.
  • B. Bristol, Indiana
    Bristol, Indiana is a small town in Elkhart County known for its historic character and location along the St. Joseph River in northern Indiana.
  • C. 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.
  • D. Elwood, Indiana
    Elwood, Indiana is a small Midwestern city best known as the birthplace of 1940 Republican presidential nominee Wendell Willkie.
  • E. Georgetown, Indiana
    Georgetown, Indiana is a small town in southern Indiana known for its residential community and proximity to the Louisville metropolitan area.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a699c0088190a84d7a495a3e3d61 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.