Triple

T3478752
Position Surface form Disambiguated ID Type / Status
Subject Driehaus College of Business E73439 entity
Predicate campus P269 FINISHED
Object Loop Campus E71944 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: Loop Campus | Statement: [Driehaus College of Business, campus, Loop Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loop Campus
Context triple: [Driehaus College of Business, campus, Loop Campus]
  • A. Loop Campus chosen
    Loop Campus is DePaul University's urban campus located in the heart of downtown Chicago, housing many of its business, computing, and professional programs.
  • B. Horhor Campus
    Horhor Campus is one of Istanbul University's urban campuses, housing various academic departments and facilities in Istanbul, Turkey.
  • C. Alice campus
    Alice campus is the main rural campus of the University of Fort Hare in Alice, Eastern Cape, South Africa, known for its historic role in African higher education.
  • D. Pleburan Campus
    Pleburan Campus is one of Diponegoro University's urban campuses, located in Semarang, Indonesia, and hosting several of its academic and administrative facilities.
  • E. WU Campus
    WU Campus is the modern, architecturally distinctive university campus in Vienna that houses the Vienna University of Economics and Business.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5ca73c81908256e3339a3a6f9f completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.