Triple

T5916413
Position Surface form Disambiguated ID Type / Status
Subject Research Council of Norway E131590 entity
Predicate hasAbbreviation P43 FINISHED
Object RCN E131590 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: RCN | Statement: [Research Council of Norway, hasAbbreviation, RCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCN
Context triple: [Research Council of Norway, hasAbbreviation, RCN]
  • A. RCN
    RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
  • B. RCN chosen
    RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
  • C. RCP
    RCP is the commonly used abbreviation for the Royal College of Physicians, a professional body dedicated to improving the practice of medicine and healthcare standards.
  • D. CRN
    CRN is the ICAO airline designator assigned to the Cuban regional carrier AeroCaribbean.
  • E. RCM
    RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bcea9c8190a34dc03857e3b80b completed March 22, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e397f2748190acf2d629ee57a466 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.