Triple

T19095240
Position Surface form Disambiguated ID Type / Status
Subject NATO School Oberammergau E467387 entity
Predicate shortName P43 FINISHED
Object NSO 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: NSO | Statement: [NATO School Oberammergau, shortName, NSO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSO
Context triple: [NATO School Oberammergau, shortName, NSO]
  • A. NSO
    NSO (National Solar Observatory) is a U.S. research institution dedicated to studying the Sun through advanced ground-based solar telescopes and instruments.
  • B. NSO
    NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
  • C. NSO
    NSO is Nintendo's online subscription service for the Nintendo Switch, providing access to online multiplayer, classic game libraries, and cloud saves.
  • D. NSO
    NSO is the IATA airport code for Scone Airport, a regional airfield serving the Scone area in New South Wales, Australia.
  • E. NSO chosen
    NSO is the NATO Standardization Office, the body responsible for developing and coordinating standardization policies and documents across the NATO alliance.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e368f20c8190bd84d2ba320991ac completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.