Triple

T16911773
Position Surface form Disambiguated ID Type / Status
Subject Osan College station E410213 entity
Predicate namedAfter P63 FINISHED
Object Osan College E631511 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: Osan College | Statement: [Osan College station, namedAfter, Osan College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osan College
Context triple: [Osan College station, namedAfter, Osan College]
  • A. Kutama College
    Kutama College is a prominent Roman Catholic boys' secondary school in Zimbabwe known for educating several of the country’s future leaders, including Robert Mugabe.
  • B. Oiso High School
    Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
  • C. Adelbert College
    Adelbert College was a 19th-century liberal arts college in Cleveland, Ohio, that later became part of Western Reserve University (now Case Western Reserve University).
  • D. Ono Academic College
    Ono Academic College is a private higher education institution in Israel known for its diverse academic programs in fields such as law, business, and health professions.
  • E. Osan University chosen
    Osan University is a higher education institution located in Osan, a city in Gyeonggi Province, South Korea.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7bb4ac481909318d3d61a2d10e1 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.