Triple

T17744476
Position Surface form Disambiguated ID Type / Status
Subject Inland Norway University of Applied Sciences E442949 entity
Predicate abbreviation P43 FINISHED
Object INN 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: INN | Statement: [Inland Norway University of Applied Sciences, abbreviation, INN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INN
Context triple: [Inland Norway University of Applied Sciences, abbreviation, INN]
  • A. INN chosen
    INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
  • B. INN
    INN is the IATA airport code for Innsbruck Airport, the main international airport serving Innsbruck and the Tyrol region of Austria.
  • C. INNS
    INNS is the International Neural Network Society, a professional organization dedicated to advancing research and applications in neural networks and related fields.
  • D. Inn
    The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • E. Via Inn
    Via Inn is a Japanese business hotel chain operated by JR-West Hotels, known for its convenient locations near train stations and practical, budget-friendly accommodations.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad0c5b481909059bfa868cc4001 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.