Triple

T8956108
Position Surface form Disambiguated ID Type / Status
Subject RCP2.6 E213474 entity
Predicate alsoKnownAs P39 FINISHED
Object RCP3-PD
RCP3-PD is a low greenhouse gas concentration pathway used in climate modeling that represents very strong mitigation efforts to limit global warming.
E767433 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: RCP3-PD | Statement: [RCP2.6, alsoKnownAs, RCP3-PD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCP3-PD
Context triple: [RCP2.6, alsoKnownAs, RCP3-PD]
  • 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. CP3
    CP3 is the widely used nickname of NBA point guard Chris Paul, known as one of the greatest playmakers and floor generals in basketball history.
  • C. PCP
    PCP is the commonly used abbreviation for the Portuguese Communist Party, a major left-wing political party in Portugal.
  • D. PCP
    PCP is the former New York Stock Exchange ticker symbol for Precision Castparts Corp., a major manufacturer of complex metal components and products for aerospace, power, and industrial markets.
  • E. PD
    PD is the commonly used abbreviation for Italy’s center-left political party, the Partito Democratico (Democratic Party).
  • 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: RCP3-PD
Triple: [RCP2.6, alsoKnownAs, RCP3-PD]
Generated description
RCP3-PD is a low greenhouse gas concentration pathway used in climate modeling that represents very strong mitigation efforts to limit global warming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RCP3-PD
Target entity description: RCP3-PD is a low greenhouse gas concentration pathway used in climate modeling that represents very strong mitigation efforts to limit global warming.
  • 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. CP3
    CP3 is the widely used nickname of NBA point guard Chris Paul, known as one of the greatest playmakers and floor generals in basketball history.
  • C. PCP
    PCP is the commonly used abbreviation for the Portuguese Communist Party, a major left-wing political party in Portugal.
  • D. PCP
    PCP is the former New York Stock Exchange ticker symbol for Precision Castparts Corp., a major manufacturer of complex metal components and products for aerospace, power, and industrial markets.
  • E. PD
    PD is the commonly used abbreviation for Italy’s center-left political party, the Partito Democratico (Democratic Party).
  • 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.