Triple

T962039
Position Surface form Disambiguated ID Type / Status
Subject Bas-Rhin E20754 entity
Predicate NUTSCode P2415 FINISHED
Object FRF11
FRF11 is a NUTS statistical region code designating the Bas-Rhin department in northeastern France.
 E113096 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: FRF11 | Statement: [Bas-Rhin, NUTSCode, FRF11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRF11
Context triple: [Bas-Rhin, NUTSCode, FRF11]
  • A. 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.
  • B. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • C. R11
    R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
  • D. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • E. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • 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: FRF11
Triple: [Bas-Rhin, NUTSCode, FRF11]
Generated description
FRF11 is a NUTS statistical region code designating the Bas-Rhin department in northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRF11
Target entity description: FRF11 is a NUTS statistical region code designating the Bas-Rhin department in northeastern France.
  • A. 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.
  • B. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • C. R11
    R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
  • D. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • E. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b415ac688190bbcef455935a3116 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a6107481909b152291a73958d3 completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac12c5978481909be2d6e1ce85acd5 completed March 7, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69ac132f09448190b5f789f90328f81f completed March 7, 2026, 11:59 a.m.
Created at: March 1, 2026, 7:40 p.m.