Triple

T23252172
Position Surface form Disambiguated ID Type / Status
Subject Nnamdi Azikiwe University E581760 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Communication Sciences NE NERFINISHED

How this triple was built (3 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 Communication Sciences | Statement: [Nnamdi Azikiwe University, hasFaculty, Faculty of Communication Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Communication Sciences
Context triple: [Nnamdi Azikiwe University, hasFaculty, Faculty of Communication Sciences]
  • A. Faculty of Communication Sciences
    The Faculty of Communication Sciences is an academic unit of Universitas Padjadjaran specializing in education and research in media, journalism, public relations, and related communication fields.
  • B. Faculty of Communication Sciences
    The Faculty of Communication Sciences is an academic division of the Université Catholique du Congo dedicated to teaching and research in media, journalism, and communication-related fields.
  • C. Faculty of Communication Sciences
    The Faculty of Communication Sciences is an academic division of the Universidad de San Martín de Porres in Peru dedicated to education and research in fields such as journalism, media, and corporate communication.
  • D. Faculty of Communication
    The Faculty of Communication at Istanbul University is an academic unit specializing in media, journalism, public relations, and related communication studies.
  • E. Faculty of Communication
    The Faculty of Communication at Ege University is an academic unit specializing in media, journalism, public relations, and related communication studies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Communication Sciences
Target entity description: The Faculty of Communication Sciences is an academic division of Nnamdi Azikiwe University dedicated to teaching and research in media, journalism, and related communication disciplines.
  • A. Faculty of Communication Sciences
    The Faculty of Communication Sciences is an academic unit of Universitas Padjadjaran specializing in education and research in media, journalism, public relations, and related communication fields.
  • B. Faculty of Communication Sciences
    The Faculty of Communication Sciences is an academic division of the Université Catholique du Congo dedicated to teaching and research in media, journalism, and communication-related fields.
  • C. Faculty of Communication Sciences
    The Faculty of Communication Sciences is an academic division of the Universidad de San Martín de Porres in Peru dedicated to education and research in fields such as journalism, media, and corporate communication.
  • D. Faculty of Communication
    The Faculty of Communication at Istanbul University is an academic unit specializing in media, journalism, public relations, and related communication studies.
  • E. Faculty of Communication
    The Faculty of Communication at Ankara University is an academic unit specializing in media, journalism, public relations, and communication studies within one of Turkey’s leading public universities.
  • F. None of above. 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f7249481909424867e9542d35e completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.