Triple

T2245701
Position Surface form Disambiguated ID Type / Status
Subject Global Forum on Migration and Development E49498 entity
Predicate abbreviation P43 FINISHED
Object GFMD
GFMD is an informal, state-led international platform that facilitates dialogue and cooperation on the interconnections between migration and development.
 E247971 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: GFMD | Statement: [Global Forum on Migration and Development, abbreviation, GFMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GFMD
Context triple: [Global Forum on Migration and Development, abbreviation, GFMD]
  • A. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • B. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • C. PGFD
    PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
  • D. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • E. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • 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: GFMD
Triple: [Global Forum on Migration and Development, abbreviation, GFMD]
Generated description
GFMD is an informal, state-led international platform that facilitates dialogue and cooperation on the interconnections between migration and development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GFMD
Target entity description: GFMD is an informal, state-led international platform that facilitates dialogue and cooperation on the interconnections between migration and development.
  • A. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • B. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • C. PGFD
    PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
  • D. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • E. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ea75d881909d4e176a432f32e8 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1284d0819093b041ede90d4c53 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bcfd2c481908f69df77f40655e2 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c4d9c04819086e3091bbbf16099 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.