Triple

T8956083
Position Surface form Disambiguated ID Type / Status
Subject Representative Concentration Pathways E213474 entity
Predicate abbreviation P43 FINISHED
Object RCPs
RCPs are standardized greenhouse gas concentration trajectories used in climate modeling to project future climate change under different emissions scenarios.
 E767431 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: RCPs | Statement: [Representative Concentration Pathways, abbreviation, RCPs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RCPs
Context triple: [Representative Concentration Pathways, abbreviation, RCPs]
  • A. 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.
  • B. 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.
  • C. RCN
    RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
  • D. RCSA
    RCSA is the commonly used abbreviation for RC Strasbourg Alsace, a professional football club based in Strasbourg, France.
  • E. RCTP
    RCTP is the ICAO airport code for Taiwan Taoyuan International Airport, the main international gateway serving Taipei and northern Taiwan.
  • 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: RCPs
Triple: [Representative Concentration Pathways, abbreviation, RCPs]
Generated description
RCPs are standardized greenhouse gas concentration trajectories used in climate modeling to project future climate change under different emissions scenarios.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RCPs
Target entity description: RCPs are standardized greenhouse gas concentration trajectories used in climate modeling to project future climate change under different emissions scenarios.
  • A. 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.
  • B. 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.
  • C. RCN
    RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
  • D. RCSA
    RCSA is the commonly used abbreviation for RC Strasbourg Alsace, a professional football club based in Strasbourg, France.
  • E. RCTP
    RCTP is the ICAO airport code for Taiwan Taoyuan International Airport, the main international gateway serving Taipei and northern Taiwan.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6728965881908e9f14aaee0c5a18 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc216ff2c819098056dff0de9479f completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc39465c48190811f56918fe48526 completed April 3, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3e6694c8190a03eb55a5b04df52 completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 7 p.m.