Triple

T5335509
Position Surface form Disambiguated ID Type / Status
Subject South Bend, Indiana E123815 entity
Predicate near P350 FINISHED
Object Mishawaka, Indiana E125570 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: Mishawaka, Indiana | Statement: [South Bend, Indiana, near, Mishawaka, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mishawaka, Indiana
Context triple: [South Bend, Indiana, near, Mishawaka, Indiana]
  • A. Mishawaka, Indiana chosen
    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.
  • B. Vincennes, Indiana
    Vincennes, Indiana is a historic city in southwestern Indiana known as the state’s oldest city and an early frontier settlement along the Wabash River.
  • C. Crown Point, Indiana
    Crown Point, Indiana is a historic city in northwest Indiana known for its classic courthouse square and role as the county’s governmental and commercial hub.
  • D. Elkhart, Indiana
    Elkhart, Indiana is a small city in northern Indiana known for its recreational vehicle manufacturing industry and location near the Michigan border.
  • E. Valparaiso, Indiana
    Valparaiso, Indiana is a small city in northwestern Indiana known for hosting Valparaiso University and serving as a regional cultural and educational center.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85af799081909ee60bfbb65149ee completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fd0a2c48190ba0c2e3259c3691f completed March 22, 2026, 5:36 a.m.
Created at: March 20, 2026, 2 p.m.