Triple

T5867706
Position Surface form Disambiguated ID Type / Status
Subject SCO E130436 entity
Predicate category P87 FINISHED
Object FIFA Trigrammes
FIFA Trigrammes are the standardized three-letter country codes used by FIFA to identify national football teams in international competitions and records.
 E549813 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: FIFA Trigrammes | Statement: [SCO, category, FIFA Trigrammes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIFA Trigrammes
Context triple: [SCO, category, FIFA Trigrammes]
  • A. FIFA
    FIFA is the international governing body of association football, responsible for organizing major global tournaments such as the FIFA World Cup and overseeing the sport’s rules and international governance.
  • B. FPL
    FPL was a major Marxist-Leninist guerrilla organization in El Salvador that later became one of the principal components of the FMLN.
  • C. TFF
    TFF is a renowned annual film festival held in Telluride, Colorado, known for premiering critically acclaimed and award-contending films.
  • D. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • E. Numbers on the Boards
    "Numbers on the Boards" is a minimalist, hard-hitting hip-hop track by Pusha T known for its stark production and boastful, technically sharp lyricism.
  • 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: FIFA Trigrammes
Triple: [SCO, category, FIFA Trigrammes]
Generated description
FIFA Trigrammes are the standardized three-letter country codes used by FIFA to identify national football teams in international competitions and records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIFA Trigrammes
Target entity description: FIFA Trigrammes are the standardized three-letter country codes used by FIFA to identify national football teams in international competitions and records.
  • A. FIFA
    FIFA is the international governing body of association football, responsible for organizing major global tournaments such as the FIFA World Cup and overseeing the sport’s rules and international governance.
  • B. FPL
    FPL was a major Marxist-Leninist guerrilla organization in El Salvador that later became one of the principal components of the FMLN.
  • C. TFF
    TFF is a renowned annual film festival held in Telluride, Colorado, known for premiering critically acclaimed and award-contending films.
  • D. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • E. Numbers on the Boards
    "Numbers on the Boards" is a minimalist, hard-hitting hip-hop track by Pusha T known for its stark production and boastful, technically sharp lyricism.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035c27e708190b46c707d61c78877 completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d0c5a88190be8dee862e71a0f6 completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a2ab17f481908f2d492e4d9d90fb completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a325410c8190925e5d9961baf829 completed March 23, 2026, 2:19 a.m.
Created at: March 22, 2026, 3:56 p.m.