Triple

T336788
Position Surface form Disambiguated ID Type / Status
Subject World Climate Programme E6745 entity
Predicate hasAbbreviation P43 FINISHED
Object WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
 E42725 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: WCP | Statement: [World Climate Programme, hasAbbreviation, WCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WCP
Context triple: [World Climate Programme, hasAbbreviation, WCP]
  • A. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • B. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • C. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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: WCP
Triple: [World Climate Programme, hasAbbreviation, WCP]
Generated description
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WCP
Target entity description: WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
  • A. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • B. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • C. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac950388190829875a07d821ddf completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d24903d881909ddd6726dce4d535 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2d8aa64819095cdee306bec77ec completed March 1, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a3d370d200819089eaf114357a8ca3 completed March 1, 2026, 5:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.