Triple

T8589858
Position Surface form Disambiguated ID Type / Status
Subject Renk AG E203401 entity
Predicate tickerSymbol P1447 FINISHED
Object R3NK
R3NK is the stock ticker symbol for Renk AG, a German engineering company specializing in high-performance transmissions and drive technology for military and industrial applications.
 E745156 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: R3NK | Statement: [Renk AG, tickerSymbol, R3NK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R3NK
Context triple: [Renk AG, tickerSymbol, R3NK]
  • A. R3
    R3 is one of the general-purpose registers in the PDP-11 minicomputer architecture, used for arithmetic, logical operations, and addressing.
  • B. RJNK
    RJNK is the ICAO airport code for Komatsu Airport, a joint civil-military airfield serving Ishikawa Prefecture in Japan.
  • C. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • D. R_K
    R_K is the von Klitzing constant, a fundamental physical constant that characterizes the quantized Hall resistance and underpins the modern definition of the ohm.
  • E. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • 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: R3NK
Triple: [Renk AG, tickerSymbol, R3NK]
Generated description
R3NK is the stock ticker symbol for Renk AG, a German engineering company specializing in high-performance transmissions and drive technology for military and industrial applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R3NK
Target entity description: R3NK is the stock ticker symbol for Renk AG, a German engineering company specializing in high-performance transmissions and drive technology for military and industrial applications.
  • A. R3
    R3 is one of the general-purpose registers in the PDP-11 minicomputer architecture, used for arithmetic, logical operations, and addressing.
  • B. RJNK
    RJNK is the ICAO airport code for Komatsu Airport, a joint civil-military airfield serving Ishikawa Prefecture in Japan.
  • C. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • D. R_K
    R_K is the von Klitzing constant, a fundamental physical constant that characterizes the quantized Hall resistance and underpins the modern definition of the ohm.
  • E. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc466471048190ad6351170d07f7f7 completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8acebac81909d2fce98c6901f0c completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea9cff1ec8190a0093fb42782341e completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa9f7f8c8190965e86880ff141d5 completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:23 p.m.