Triple

T9960761
Position Surface form Disambiguated ID Type / Status
Subject Burundian franc E195560 entity
Predicate symbol P129 FINISHED
Object FBu
FBu is the currency symbol used to represent the Burundian franc, the official monetary unit of Burundi.
 E831905 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: FBu | Statement: [Burundian franc, symbol, FBu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FBu
Context triple: [Burundian franc, symbol, FBu]
  • A. BFU
    BFU is the commonly used abbreviation for Burgas Free University, a higher education institution located in Burgas, Bulgaria.
  • B. FBZ
    FBZ is the ICAO airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • C. FBB
    FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. FBBE
    FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
  • 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: FBu
Triple: [Burundian franc, symbol, FBu]
Generated description
FBu is the currency symbol used to represent the Burundian franc, the official monetary unit of Burundi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FBu
Target entity description: FBu is the currency symbol used to represent the Burundian franc, the official monetary unit of Burundi.
  • A. BFU
    BFU is the commonly used abbreviation for Burgas Free University, a higher education institution located in Burgas, Bulgaria.
  • B. FBZ
    FBZ is the ICAO airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • C. FBB
    FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. FBBE
    FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d219c48190b2084b0eb07ae125 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d904bbc8190ac0b28600ed2e709 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23fa1e3288190b755b3966178ad52 completed April 5, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69d24077720c81909a43ff56627095a1 completed April 5, 2026, 10:59 a.m.
Created at: March 30, 2026, 8:47 p.m.