Triple

T22830088
Position Surface form Disambiguated ID Type / Status
Subject Fontys University of Applied Sciences E565772 entity
Predicate hasFaculty P141 FINISHED
Object ICT 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: ICT | Statement: [Fontys University of Applied Sciences, hasFaculty, ICT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICT
Context triple: [Fontys University of Applied Sciences, hasFaculty, ICT]
  • A. ICT
    ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
  • B. ICT
    ICT is the commonly used abbreviation and nickname for Inverness Caledonian Thistle Football Club, a professional football team based in Inverness, Scotland.
  • C. ICT
    ICT was a major British computer manufacturer formed in the late 1950s that played a key role in the early development and commercialization of computing in the United Kingdom.
  • D. ICT chosen
    ICT (Information and Communication Technology) is a broad field that focuses on the development, management, and use of digital technologies and communication systems to process, transmit, and store information.
  • E. ICT
    ICT is the three-letter IATA airport code for Wichita Dwight D. Eisenhower National Airport in Wichita, Kansas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2ac8d48190b6dc7edc5ad82bc7 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.