Triple

T7239021
Position Surface form Disambiguated ID Type / Status
Subject Lauenburg E155306 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object RZ
RZ is the vehicle registration code used on license plates for the district of Lauenburg in the German state of Schleswig-Holstein.
 E650795 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: RZ | Statement: [Lauenburg, vehicleRegistrationCode, RZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RZ
Context triple: [Lauenburg, vehicleRegistrationCode, RZ]
  • A. RZO
    RZO is the ICAO airline designator used to identify Azores Airlines in international aviation operations.
  • B. RZE
    RZE is the IATA airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
  • C. RBZ
    RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
  • D. RWZ
    RWZ is the ICAO airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • E. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • 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: RZ
Triple: [Lauenburg, vehicleRegistrationCode, RZ]
Generated description
RZ is the vehicle registration code used on license plates for the district of Lauenburg in the German state of Schleswig-Holstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RZ
Target entity description: RZ is the vehicle registration code used on license plates for the district of Lauenburg in the German state of Schleswig-Holstein.
  • A. RZO
    RZO is the ICAO airline designator used to identify Azores Airlines in international aviation operations.
  • B. RZE
    RZE is the IATA airport code for Rzeszów–Jasionka Airport, an international airport serving the city of Rzeszów in southeastern Poland.
  • C. RBZ
    RBZ is the central bank of Zimbabwe, responsible for issuing the national currency and overseeing the country’s monetary and financial system.
  • D. RWZ
    RWZ is the ICAO airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • E. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7ce24f4148190877852983c9aadb5 completed March 28, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7ce9f73508190a2d1eb35237c3073 completed March 28, 2026, 12:50 p.m.
Created at: March 27, 2026, 2:55 p.m.