Triple

T2616986
Position Surface form Disambiguated ID Type / Status
Subject VU E58912 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Science 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: Faculty of Science | Statement: [VU, hasFaculty, Faculty of Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Science
Context triple: [VU, hasFaculty, Faculty of Science]
  • A. Faculty of Science
    The Faculty of Science at the University of Geneva is an academic division dedicated to education and research in the natural and physical sciences.
  • B. Faculty of Science
    The Faculty of Science at Alexandria University is an academic division dedicated to education and research in the natural and physical sciences.
  • C. Faculty of Science
    The Faculty of Science is an academic division of the University of Neuchâtel dedicated to education and research in scientific disciplines.
  • D. Faculty of Science
    The Faculty of Science at the University of Zurich is an academic division dedicated to research and education in the natural and physical sciences.
  • E. Faculty of Science
    The Faculty of Science at the University of Amsterdam is a major academic division focused on education and research in the natural and exact sciences.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd89325308190985598373eb0d296 completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9088d23c81908927eba84556f90c completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.