Triple

T2308826
Position Surface form Disambiguated ID Type / Status
Subject Government of Nigeria E51903 entity
Predicate alsoKnownAs P39 FINISHED
Object FGN
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
 E254231 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: FGN | Statement: [Government of Nigeria, alsoKnownAs, FGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FGN
Context triple: [Government of Nigeria, alsoKnownAs, FGN]
  • A. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • B. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • C. FGw
    FGw is the Faculty of Humanities at the University of Amsterdam, encompassing disciplines such as languages, history, philosophy, arts, and cultural studies.
  • D. BGN
    BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
  • E. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • 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: FGN
Triple: [Government of Nigeria, alsoKnownAs, FGN]
Generated description
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FGN
Target entity description: FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
  • A. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • B. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • C. FGw
    FGw is the Faculty of Humanities at the University of Amsterdam, encompassing disciplines such as languages, history, philosophy, arts, and cultural studies.
  • D. BGN
    BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
  • E. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc607cf4881908ba4ea2a7f5dedc9 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f3a007c8190b5c8683ced9d77fa completed March 9, 2026, 8:05 a.m.
NEDg Description generation batch_69ae7feec1288190a76192e0cbfb2f63 completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae806fd8008190bfd6c6bcd1d0ddbd completed March 9, 2026, 8:10 a.m.
Created at: March 4, 2026, 7:49 p.m.