Triple

T21058148
Position Surface form Disambiguated ID Type / Status
Subject UN Volunteer assignments E518775 entity
Predicate implementedWith P1417 FINISHED
Object WFP NE NERFINISHED

How this triple was built (2 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: WFP | Statement: [UN Volunteer assignments, implementedWith, WFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WFP
Context triple: [UN Volunteer assignments, implementedWith, WFP]
  • A. WFP
    WFP is the commonly used abbreviation for the United Kingdom’s Winter Fuel Payment, a government benefit that helps older people with heating costs during the colder months.
  • B. World Food Programme chosen
    The World Food Programme is the United Nations’ leading humanitarian organization focused on combating global hunger and providing emergency food assistance and nutrition support to vulnerable populations worldwide.
  • C. FAO
    FAO is the IATA airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • D. FAO
    FAO (Flight Activities Officer) is a NASA Mission Control position responsible for planning, coordinating, and overseeing the execution of a spacecraft’s flight plan and onboard activities during missions.
  • E. Feeding America
    Feeding America is a nationwide network of food banks that works to combat hunger and food insecurity across the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd8236b481908eebfaeeb2aa63e6 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:37 p.m.