Triple

T17615095
Position Surface form Disambiguated ID Type / Status
Subject USC E429061 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Philology — NE NERFINISHED

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 Philology | Statement: [USC, hasFaculty, Faculty of Philology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Philology
Context triple: [USC, hasFaculty, Faculty of Philology]
  • A. Faculty of Philology
    The Faculty of Philology at the University of Salamanca is an academic division specializing in the study and research of languages, literature, and linguistics.
  • B. Faculty of Philology
    The Faculty of Philology at the University of Lviv is an academic unit specializing in the study and research of languages, literature, and linguistics.
  • C. Faculty of Philology
    The Faculty of Philology is an academic division specializing in the study of language, literature, and related humanities disciplines.
  • D. Faculty of Philology
    The Faculty of Philology is a humanities division of the University of Wrocław specializing in the study of languages, literature, and linguistics.
  • E. Faculty of Philology
    The Faculty of Philology at Ruhr University Bochum is an academic division specializing in language, literature, and linguistics studies and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.