Triple

T4699457
Position Surface form Disambiguated ID Type / Status
Subject City Campus E104232 entity
Predicate name P16 FINISHED
Object City Campus unclear NED1 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: City Campus | Statement: [City Campus, name, City Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Campus
Context triple: [City Campus, name, City Campus]
  • A. City Campus
    City Campus is the main urban campus of the University of Dundee, housing most of its academic buildings and student facilities in the heart of Dundee, Scotland.
  • B. City Campus
    City Campus is the central urban campus of the University of Auckland, housing many of its core faculties, teaching facilities, and student services in downtown Auckland.
  • C. City Campus
    City Campus is one of the main University of Copenhagen sites, housing several of its faculties and academic departments in a central urban setting.
  • D. City Campus
    City Campus is the main urban campus of the University of Portsmouth, housing many of its academic buildings and student facilities in the heart of Portsmouth, England.
  • E. Metropolitan Campus
    Metropolitan Campus is one of Cuyahoga Community College’s main urban campuses, serving students in the Cleveland, Ohio area with a range of academic and workforce programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cbc5d881908d1d40c60929b253 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03c7469081908cf587b2356a4320 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.