Triple

T15677829
Position Surface form Disambiguated ID Type / Status
Subject UAM E377490 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of History 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 History | Statement: [UAM, hasFaculty, Faculty of History]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of History
Context triple: [UAM, hasFaculty, Faculty of History]
  • A. Faculty of History
    The Faculty of History is an academic division of Lesya Ukrainka Volyn National University dedicated to teaching and research in historical studies and related disciplines.
  • B. Faculty of History
    The Faculty of History at the University of Kharkiv is an academic division dedicated to teaching and research in historical studies, including regional, national, and world history.
  • C. Faculty of History
    The Faculty of History is an academic division of Taras Shevchenko National University of Kyiv specializing in historical research and education.
  • D. Faculty of History
    The Faculty of History is an academic division of the University of Bucharest specializing in historical research and higher education in history and related fields.
  • E. Faculty of History
    The Faculty of History is an academic division of Sofia University “St. Kliment Ohridski” dedicated to higher education and research in historical studies.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2f1640819086efd5a73bb9734a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee0446881909e9c2504d51d49a3 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.