Triple

T398295
Position Surface form Disambiguated ID Type / Status
Subject Columbus, Ohio E9221 entity
Predicate isPartOf P10 FINISHED
Object Rust Belt E3736 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: Rust Belt | Statement: [Columbus, Ohio, isPartOf, Rust Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust Belt
Context triple: [Columbus, Ohio, isPartOf, Rust Belt]
  • A. Rust Belt chosen
    The Rust Belt is a region in the northeastern and midwestern United States historically dominated by manufacturing and heavy industry that has experienced significant economic decline and population loss since the late 20th century.
  • B. Pittsburgh region
    The Pittsburgh region is a historically significant industrial area in western Pennsylvania, long known as a major center of steel production and manufacturing.
  • C. Columbus metropolitan area
    The Columbus metropolitan area is a regional urban and economic hub centered on the city of Columbus in western Georgia, extending into east-central Alabama.
  • D. Northern Ohio
    Northern Ohio is the upper portion of the U.S. state of Ohio, encompassing communities along and inland from Lake Erie, including towns such as Milan.
  • E. Southeast Michigan
    Southeast Michigan is a region anchored by Detroit that serves as the historic heart of the U.S. automotive industry and a major center for manufacturing and engineering.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad94f88819082f718548331037b completed March 1, 2026, 9:46 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.