Triple

T10290459
Position Surface form Disambiguated ID Type / Status
Subject Indre E241347 entity
Predicate partOfNUTSRegion P9956 FINISHED
Object FRB
FRB is the NUTS statistical region code designating the Centre-Val de Loire region in central France.
 E852301 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: FRB | Statement: [Indre, partOfNUTSRegion, FRB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRB
Context triple: [Indre, partOfNUTSRegion, FRB]
  • A. FRB
    FRB is the commonly used abbreviation for the Federal Reserve Board of Governors, the central governing body of the U.S. Federal Reserve System that oversees national monetary policy and banking regulation.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FRF
    FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
  • D. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • E. FED
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • 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: FRB
Triple: [Indre, partOfNUTSRegion, FRB]
Generated description
FRB is the NUTS statistical region code designating the Centre-Val de Loire region in central France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRB
Target entity description: FRB is the NUTS statistical region code designating the Centre-Val de Loire region in central France.
  • A. FRB
    FRB is the commonly used abbreviation for the Federal Reserve Board of Governors, the central governing body of the U.S. Federal Reserve System that oversees national monetary policy and banking regulation.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FRF
    FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
  • D. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • E. FED
    FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d192288190a64c27a4f26b71fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f85dcbac8190a2ac66354010e328 completed April 9, 2026, 12:52 a.m.
NEDg Description generation batch_69d6fcaee26c8190a19f7d07a63531f6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd879ab88190b0a47295f5d7ad4d completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:41 a.m.