Triple

T16079758
Position Surface form Disambiguated ID Type / Status
Subject Ostprignitz-Ruppin E390073 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object OPR
OPR is the vehicle registration code used on license plates for the Ostprignitz-Ruppin district in the German state of Brandenburg.
 E1193046 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: OPR | Statement: [Ostprignitz-Ruppin, vehicleRegistrationCode, OPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPR
Context triple: [Ostprignitz-Ruppin, vehicleRegistrationCode, OPR]
  • A. OPR
    OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
  • B. OPR
    OPR is a dark, industrial-tinged electronic track by French techno producer Gesaffelstein, recognized as one of his signature works.
  • C. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • D. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • E. OPRA
    OPRA is the stock ticker symbol for Opera Limited, a technology company best known for developing the Opera web browser.
  • 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: OPR
Triple: [Ostprignitz-Ruppin, vehicleRegistrationCode, OPR]
Generated description
OPR is the vehicle registration code used on license plates for the Ostprignitz-Ruppin district in the German state of Brandenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPR
Target entity description: OPR is the vehicle registration code used on license plates for the Ostprignitz-Ruppin district in the German state of Brandenburg.
  • A. OPR
    OPR is the post-nominal abbreviation used by recipients of the Polish state order known as the Order of Polonia Restituta.
  • B. OPR
    OPR is a dark, industrial-tinged electronic track by French techno producer Gesaffelstein, recognized as one of his signature works.
  • C. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • D. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • E. OPRA
    OPRA is the stock ticker symbol for Opera Limited, a technology company best known for developing the Opera web browser.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18448bebc8190b0e84b1da097bf8b completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe6af1c4081908b57f4dc485fbb14 completed May 10, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69ffe769d56081908f723e92d327e315 completed May 10, 2026, 2:03 a.m.
Created at: April 10, 2026, 4:57 a.m.