Triple

T3082926
Position Surface form Disambiguated ID Type / Status
Subject Shawn Kemp E64299 entity
Predicate highSchoolLocation P263 FINISHED
Object Elkhart, Indiana E201977 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: Elkhart, Indiana | Statement: [Shawn Kemp, highSchoolLocation, Elkhart, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elkhart, Indiana
Context triple: [Shawn Kemp, highSchoolLocation, Elkhart, Indiana]
  • A. Elkhart, Indiana chosen
    Elkhart, Indiana is a small city in northern Indiana known for its recreational vehicle manufacturing industry and location near the Michigan border.
  • B. Mishawaka, Indiana
    Mishawaka, Indiana is a city in northern Indiana near South Bend, known for its manufacturing history and as the longtime base of vehicle maker AM General.
  • C. Harlan, Indiana
    Harlan, Indiana is a small unincorporated community in northeastern Indiana located near the city of Fort Wayne.
  • D. Whiting, Indiana
    Whiting, Indiana is a small industrial city on the southern shore of Lake Michigan near Chicago, known for its oil refinery, lakeside location, and historic downtown.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e46453c819084e459311ac0cdd9 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:03 p.m.