Triple

T18590601
Position Surface form Disambiguated ID Type / Status
Subject QuTech E454355 entity
Predicate foundedBy P104 FINISHED
Object TNO 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: TNO | Statement: [QuTech, foundedBy, TNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNO
Context triple: [QuTech, foundedBy, TNO]
  • A. TNO chosen
    TNO is the Netherlands Organisation for Applied Scientific Research, a major independent research institute that develops and applies innovative technologies for industry and society.
  • B. TNU
    TNU is the commonly used abbreviation for Tajik National University, a major public higher education institution in Tajikistan.
  • C. NITT
    NITT is a premier public engineering and technology institute in Tiruchirappalli, India, renowned for its rigorous academics and research.
  • D. NOC (Netherlands)
    NOC (Netherlands) is the Dutch organization responsible for organizing the country's participation in the Olympic Games and promoting Olympic sports nationally.
  • E. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b5bc688190bdfe3911ac6b2d76 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.