Triple

T8299909
Position Surface form Disambiguated ID Type / Status
Subject Burns Harbor, Indiana E194323 entity
Predicate near P350 FINISHED
Object Gary, Indiana E10032 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: Gary, Indiana | Statement: [Burns Harbor, Indiana, near, Gary, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary, Indiana
Context triple: [Burns Harbor, Indiana, near, Gary, Indiana]
  • A. Gary, Indiana chosen
    Gary, Indiana is an industrial city in the Chicago metropolitan area historically known for its steel mills and as the birthplace of Michael Jackson and the Jackson family.
  • B. Anderson, Indiana
    Anderson, Indiana is a mid-sized city in central Indiana known historically for its automotive industry roots and as the county seat of Madison County.
  • 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. Winfield, Indiana
    Winfield, Indiana is a small suburban town in northwest Indiana known for its residential communities and proximity to the Chicago metropolitan area.
  • E. Elkhart, Indiana
    Elkhart, Indiana is a small city in northern Indiana known for its recreational vehicle manufacturing industry and location near the Michigan border.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e879c588190a6f95cf7795541ad completed March 31, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68bcb43081909e3a8a00947d03f2 completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.