Triple

T14929014
Position Surface form Disambiguated ID Type / Status
Subject Lancaster, Ohio E372207 entity
Predicate locatedNear P294 FINISHED
Object Columbus, Ohio E9221 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: Columbus, Ohio | Statement: [Lancaster, Ohio, locatedNear, Columbus, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus, Ohio
Context triple: [Lancaster, Ohio, locatedNear, Columbus, Ohio]
  • A. Columbus, Ohio chosen
    Columbus, Ohio is the capital and largest city of Ohio, known for its diverse economy, major universities, and role as a cultural and political center in the region.
  • B. Hamilton, Ohio
    Hamilton, Ohio is a historic industrial city in southwestern Ohio that serves as the county seat of Butler County and is part of the greater Cincinnati–Miami Valley region.
  • C. Columbus
    Columbus is a common Italian-origin surname most famously associated with the explorer Christopher Columbus and his descendants.
  • D. Columbus
    Columbus is the European Space Agency’s research laboratory module attached to the International Space Station, used for a wide range of scientific experiments in microgravity.
  • E. Columbus
    Columbus is the capital and largest city of Ohio, known for its diverse economy, major universities, and vibrant arts and sports scenes.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded634e67881909daec9eaef188d09 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d279708190a54a56c0b80be10a completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:36 a.m.