Triple

T9263263
Position Surface form Disambiguated ID Type / Status
Subject Haarentor campus E222629 entity
Predicate hasNameInLanguage P15 FINISHED
Object Campus Haarentor E222629 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: Campus Haarentor | Statement: [Haarentor campus, hasNameInLanguage, Campus Haarentor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campus Haarentor
Context triple: [Haarentor campus, hasNameInLanguage, Campus Haarentor]
  • A. Haarentor campus chosen
    Haarentor campus is one of the main sites of the University of Oldenburg in Germany, housing central academic and administrative facilities.
  • B. Kollhoff Tower
    Kollhoff Tower is a prominent high-rise office building in Berlin known for its brick-clad postmodern architecture and panoramic viewing platform overlooking Potsdamer Platz.
  • C. Woudestein campus
    Woudestein campus is the main campus of Erasmus University Rotterdam, housing most of its faculties, facilities, and student services.
  • D. Campus Mitte
    Campus Mitte is the central urban campus of Humboldt University of Berlin, housing many of its core faculties and administrative buildings in the heart of the city.
  • E. Campus Nord
    Campus Nord is one of the main sites of Humboldt University of Berlin, housing various academic institutes, research facilities, and university 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0719eee081909e21ecb9d6dd0b49 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0526c48190aae93a70cfe5562c completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:32 p.m.