Triple

T9935109
Position Surface form Disambiguated ID Type / Status
Subject Fédération Wallonie-Bruxelles E192739 entity
Predicate shortName P43 FINISHED
Object FWB E192740 NE FINISHED

How this triple was built (2 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: [Fédération Wallonie-Bruxelles, shortName, FWB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FWB
Context triple: [Fédération Wallonie-Bruxelles, 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. FWB chosen
    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.
  • C. FAWB
    FAWB is the ICAO airport code for Wonderboom National Airport, a regional airport serving Pretoria, South Africa.
  • D. FYWB
    FYWB is the ICAO airport code assigned to Walvis Bay International Airport in Namibia.
  • E. FSW
    FSW is the Faculty of Social and Behavioural Sciences at Leiden University, encompassing disciplines such as psychology, political science, cultural anthropology, and education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e263208190b6ea8b8b4e29805d completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228ddecfc8190850a098bf4074cc3 completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.