Triple

T153304
Position Surface form Disambiguated ID Type / Status
Subject Fridays for Future E3477 entity
Predicate hasAlternativeName P39 FINISHED
Object FFF
FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
 E18614 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: FFF | Statement: [Fridays for Future, hasAlternativeName, FFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FFF
Context triple: [Fridays for Future, hasAlternativeName, FFF]
  • A. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • B. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • D. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • E. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • 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: FFF
Triple: [Fridays for Future, hasAlternativeName, FFF]
Generated description
FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FFF
Target entity description: FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
  • A. F
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • B. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • D. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • E. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25810799c8190a515a39169126e46 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c93d3cb08190a475da4716d9e3cb completed Feb. 28, 2026, 10:53 a.m.
NEDg Description generation batch_69a2ca66debc8190a7fc7bd1fe3df1e0 completed Feb. 28, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69a2cacda4f8819087b4456eda09d239 completed Feb. 28, 2026, 11 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.