Triple

T11276219
Position Surface form Disambiguated ID Type / Status
Subject Dunlap E266943 entity
Predicate borders P224 FINISHED
Object Columbia City E266941 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: Columbia City | Statement: [Dunlap, borders, Columbia City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia City
Context triple: [Dunlap, borders, Columbia City]
  • A. Columbia City chosen
    Columbia City is a historic, culturally diverse neighborhood in southeast Seattle known for its vibrant business district, arts scene, and early 20th-century architecture.
  • B. Fort Morgan
    Fort Morgan is a historic 19th-century masonry fort on Mobile Bay in Alabama, best known for its role in the American Civil War, particularly the Battle of Mobile Bay.
  • C. Park Hill
    Park Hill is a historic residential neighborhood in southwest Yonkers, New York, known for its early 20th-century architecture and hillside views of the Hudson River.
  • D. Colfax
    Colfax is a small city in Jasper County, central Iowa, known historically for its mineral springs and as a former spa destination.
  • E. Colfax
    Colfax is a surname most notably associated with Schuyler Colfax, the 17th vice president of the United States under Ulysses S. Grant.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e966cb4c8190bc410d7e623e54db completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a0edcd081908547745d16d643ab completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.