Triple

T1713688
Position Surface form Disambiguated ID Type / Status
Subject French Community E37241 entity
Predicate shortName P43 FINISHED
Object FWB
FWB is the commonly used abbreviation for the French Community of Belgium, the political entity responsible for French-language education and cultural affairs in the country.
 E192740 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: FWB | Statement: [French Community, shortName, FWB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FWB
Context triple: [French Community, shortName, FWB]
  • A. FWB
    FWB is the commonly used abbreviation for the Frankfurt Stock Exchange, one of the world’s largest and most important securities trading centers.
  • B. FWA
    FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. LTFJ
    LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
  • E. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • 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: FWB
Triple: [French Community, shortName, FWB]
Generated description
FWB is the commonly used abbreviation for the French Community of Belgium, the political entity responsible for French-language education and cultural affairs in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FWB
Target entity description: FWB is the commonly used abbreviation for the French Community of Belgium, the political entity responsible for French-language education and cultural affairs in the country.
  • A. FWB
    FWB is the commonly used abbreviation for the Frankfurt Stock Exchange, one of the world’s largest and most important securities trading centers.
  • B. FWA
    FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
  • C. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • D. LTFJ
    LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
  • E. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63174b3c8190bd2406c78407be28 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae10a048190b7a39e4fb4fbe224 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957adf1c8190b7c8656c1984f998 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97af6b388190b2af293599108df3 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.