Triple

T8695492
Position Surface form Disambiguated ID Type / Status
Subject World Environment Day E206395 entity
Predicate abbreviation P43 FINISHED
Object WED
WED is the commonly used abbreviation for World Environment Day, the United Nations’ annual global day of awareness and action for environmental protection.
 E750738 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: WED | Statement: [World Environment Day, abbreviation, WED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WED
Context triple: [World Environment Day, abbreviation, WED]
  • A. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • B. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • C. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • D. WADD
    WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
  • E. WED Enterprises
    WED Enterprises was Walt Disney’s original creative design and engineering company, best known as the forerunner to Walt Disney Imagineering and the force behind many early Disney theme park attractions.
  • 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: WED
Triple: [World Environment Day, abbreviation, WED]
Generated description
WED is the commonly used abbreviation for World Environment Day, the United Nations’ annual global day of awareness and action for environmental protection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WED
Target entity description: WED is the commonly used abbreviation for World Environment Day, the United Nations’ annual global day of awareness and action for environmental protection.
  • A. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • B. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • C. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • D. WADD
    WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
  • E. WED Enterprises
    WED Enterprises was Walt Disney’s original creative design and engineering company, best known as the forerunner to Walt Disney Imagineering and the force behind many early Disney theme park attractions.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc582996a0819097ad03097ad1f103 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3fc5a788190a765942fc0b964c9 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef52200788190a8173da1aaa4f681 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef6c109b08190bb29ce2747f3ccb7 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:33 p.m.