Triple

T11011728
Position Surface form Disambiguated ID Type / Status
Subject Cloppenburg (district) E260262 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object CLP
CLP is the vehicle registration code used on license plates for the Cloppenburg district in Lower Saxony, Germany.
 E899563 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: CLP | Statement: [Cloppenburg (district), vehicleRegistrationCode, CLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CLP
Context triple: [Cloppenburg (district), vehicleRegistrationCode, CLP]
  • A. CLP
    CLP is the vehicle registration code used on license plates for vehicles registered in the Saterland region of Germany.
  • B. CLP
    CLP is the three-letter station code used to identify Clapham Common Underground station on the London Underground network.
  • C. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • D. CCl
    CCl is the abbreviated name for the Commission for Climatology, a specialized body focused on international climatological research and coordination.
  • E. GCLP
    GCLP is the ICAO airport code for Gran Canaria Airport, a major international airport serving the island of Gran Canaria in Spain’s Canary Islands.
  • 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: CLP
Triple: [Cloppenburg (district), vehicleRegistrationCode, CLP]
Generated description
CLP is the vehicle registration code used on license plates for the Cloppenburg district in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CLP
Target entity description: CLP is the vehicle registration code used on license plates for the Cloppenburg district in Lower Saxony, Germany.
  • A. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • B. CLP
    CLP is the vehicle registration code used on license plates for vehicles registered in the Saterland region of Germany.
  • C. CLP
    CLP is the three-letter station code used to identify Clapham Common Underground station on the London Underground network.
  • D. CCl
    CCl is the abbreviated name for the Commission for Climatology, a specialized body focused on international climatological research and coordination.
  • E. GCLP
    GCLP is the ICAO airport code for Gran Canaria Airport, a major international airport serving the island of Gran Canaria in Spain’s Canary Islands.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978a57a881909b4ceae0ebe21b78 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374ac78348190a8c0a5a7a736b24b completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e378df767c819099d0bfdf35eaf5f3 completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37bf526108190b5fc22569fe6be54 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:25 p.m.