Triple

T1149492
Position Surface form Disambiguated ID Type / Status
Subject Research Council of Norway E23642 entity
Predicate abbreviation P43 FINISHED
Object RCN
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.
 E131590 NE FINISHED

How this triple was built (4 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, abbreviation, RCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RCN
Context triple: [Research Council of Norway, abbreviation, RCN]
  • A. RCN
    RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
  • B. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • C. RCI.A
    RCI.A is the primary Toronto Stock Exchange–listed Class A voting share ticker for Rogers Communications Inc., a major Canadian telecommunications and media company.
  • D. RAC
    RAC is the abbreviation for the Royal African Company, a 17th- and 18th-century English trading company heavily involved in the transatlantic slave trade.
  • E. RGC
    RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RCN
Triple: [Research Council of Norway, abbreviation, RCN]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RCN
Target entity description: 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.
  • A. RCN
    RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
  • B. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • C. RCI.A
    RCI.A is the primary Toronto Stock Exchange–listed Class A voting share ticker for Rogers Communications Inc., a major Canadian telecommunications and media company.
  • D. RAC
    RAC is the abbreviation for the Royal African Company, a 17th- and 18th-century English trading company heavily involved in the transatlantic slave trade.
  • E. RGC
    RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
  • F. None of above. chosen

Provenance (5 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc7190308190ab104480ed208b22 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb3ec3881908c8cb39b422fcc71 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f248db081908596810839ee6160 completed March 7, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac5fb242488190bf99f63956aeda13 completed March 7, 2026, 5:26 p.m.
Created at: March 1, 2026, 7:44 p.m.