Triple

T10551705
Position Surface form Disambiguated ID Type / Status
Subject Columbus campus E248964 entity
Predicate name P16 FINISHED
Object Columbus campus E248964 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 campus | Statement: [Columbus campus, name, Columbus campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbus campus
Context triple: [Columbus campus, name, Columbus campus]
  • A. Columbus campus chosen
    Columbus campus is the flagship and largest campus of The Ohio State University, located in Columbus, Ohio.
  • B. Columbus campus
    Columbus campus is a regional branch of Mercer University that offers higher education programs serving students in the Columbus, Georgia area.
  • C. Dayton Campus
    Dayton Campus is the main campus of Wright State University, located near Dayton, Ohio, and serving as the university’s primary academic and administrative center.
  • D. Cleveland campus
    Cleveland campus is a regional branch of Ohio University located in the Cleveland, Ohio metropolitan area, offering higher education programs to local students.
  • E. Canton campus
    Canton campus is a satellite location of Massasoit Community College in Canton, Massachusetts, offering a range of academic programs and student services.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d5820c8190a1ad6d6551d093bb completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d934639b3481908204db41101132c3 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:34 p.m.