Triple

T2560413
Position Surface form Disambiguated ID Type / Status
Subject Ilmavoimat E57227 entity
Predicate hasAbbreviation P43 FINISHED
Object FiAF
FiAF is the commonly used abbreviation for the Finnish Air Force, the air warfare branch of Finland’s Defence Forces.
 E278129 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: FiAF | Statement: [Ilmavoimat, hasAbbreviation, FiAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FiAF
Context triple: [Ilmavoimat, hasAbbreviation, FiAF]
  • A. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • B. JAFI
    JAFI is the commonly used acronym for the Jewish Agency for Israel, a major organization that facilitates Jewish immigration to Israel and supports Jewish communities worldwide.
  • C. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • D. 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.
  • E. FiO
    FiO is the commonly used abbreviation for Frontiers in Optics, a major annual conference focused on advances in optical science and engineering.
  • 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: FiAF
Triple: [Ilmavoimat, hasAbbreviation, FiAF]
Generated description
FiAF is the commonly used abbreviation for the Finnish Air Force, the air warfare branch of Finland’s Defence Forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FiAF
Target entity description: FiAF is the commonly used abbreviation for the Finnish Air Force, the air warfare branch of Finland’s Defence Forces.
  • A. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • B. JAFI
    JAFI is the commonly used acronym for the Jewish Agency for Israel, a major organization that facilitates Jewish immigration to Israel and supports Jewish communities worldwide.
  • C. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • D. 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.
  • E. FiO
    FiO is the commonly used abbreviation for Frontiers in Optics, a major annual conference focused on advances in optical science and engineering.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af60e78b488190bdd01ee77ed3648b completed March 10, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_69af614ad2408190955c430cb7a7e302 completed March 10, 2026, 12:09 a.m.
Created at: March 6, 2026, 9:48 p.m.