Triple

T1138567
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metropolitan University E23195 entity
Predicate abbreviation P43 FINISHED
Object OsloMet E129520 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: OsloMet | Statement: [Oslo Metropolitan University, abbreviation, OsloMet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OsloMet
Context triple: [Oslo Metropolitan University, abbreviation, OsloMet]
  • A. OsloMet chosen
    OsloMet is a public university in Oslo, Norway, known for its professionally oriented programs and research in fields such as social sciences, health, technology, and education.
  • B. Oslo Metro
    The Oslo Metro is the rapid transit system serving Norway's capital, providing high-frequency urban and suburban rail connections across the Oslo metropolitan area.
  • C. Oslo Bus Terminal
    Oslo Bus Terminal is the main long-distance and regional bus hub in Oslo, Norway, connecting the city with domestic and international destinations.
  • D. Oslo Tramway
    Oslo Tramway is the city’s electric light rail and streetcar network that forms a key part of public transport in Norway’s capital.
  • E. Oslo Airport Station
    Oslo Airport Station is the main railway station serving Oslo Airport, Gardermoen, providing high-speed and regional train connections between the airport and the rest of Norway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc25dda481909a26d726fdbdbb50 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eaf952c81908c45b511f0231340 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.