Triple

T19511310
Position Surface form Disambiguated ID Type / Status
Subject Taiz University E488159 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Engineering 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 Engineering | Statement: [Taiz University, hasFaculty, Faculty of Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering
Context triple: [Taiz University, hasFaculty, Faculty of Engineering]
  • A. Faculty of Engineering
    The Faculty of Engineering at Universitas Brawijaya is an academic division that offers engineering education and research programs across various technical disciplines.
  • B. Faculty of Engineering
    The Faculty of Engineering at Nagaoka University of Technology is an academic division specializing in advanced engineering education and research across multiple technical disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering at the University of Nottingham is an academic division that offers engineering education and conducts research across multiple engineering disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Hong Kong is a leading engineering school in Asia, offering a wide range of undergraduate and postgraduate programs and conducting research across major engineering disciplines.
  • E. Faculty of Engineering
    The Faculty of Engineering at the University of Trento is an academic division that offers engineering education and conducts research across various technological and scientific disciplines.
  • 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 Engineering
Target entity description: The Faculty of Engineering at Taiz University is an academic division that offers engineering education and training in various technical disciplines.
  • A. Faculty of Engineering
    The Faculty of Engineering at the University of Tabriz is a major academic division offering engineering education and research programs in various technical disciplines.
  • B. Faculty of Engineering
    The Faculty of Engineering at King Abdulaziz University is a major academic division offering engineering education and research programs in various engineering disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering at EAFIT University is an academic division dedicated to engineering education and research within the university.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Trieste is an academic division that offers engineering education and conducts research across various engineering disciplines.
  • E. Faculty of Engineering
    The Faculty of Engineering is an academic division of Universiti Teknologi MARA that offers engineering education, training, and research across various engineering disciplines.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63516572c8190a8719c51fd3f7147 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.