Triple

T8340628
Position Surface form Disambiguated ID Type / Status
Subject Bad Driburg E195900 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HX
HX is the vehicle registration code used on license plates for the town of Bad Driburg in Germany.
 E728546 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: HX | Statement: [Bad Driburg, vehicleRegistrationCode, HX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HX
Context triple: [Bad Driburg, vehicleRegistrationCode, HX]
  • A. HX
    HX is a postcode area in West Yorkshire, England, covering Halifax and surrounding towns including Hebden Bridge.
  • B. HZ
    HZ is the vehicle registration code assigned to the town of Thale in Germany.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. HXL
    HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
  • E. SX
    SX is the two-letter ISO 3166-1 alpha-2 country code assigned to Sint Maarten, a constituent country of the Kingdom of the Netherlands in the Caribbean.
  • 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: HX
Triple: [Bad Driburg, vehicleRegistrationCode, HX]
Generated description
HX is the vehicle registration code used on license plates for the town of Bad Driburg in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HX
Target entity description: HX is the vehicle registration code used on license plates for the town of Bad Driburg in Germany.
  • A. HX
    HX is a postcode area in West Yorkshire, England, covering Halifax and surrounding towns including Hebden Bridge.
  • B. HZ
    HZ is the vehicle registration code assigned to the town of Thale in Germany.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. HXL
    HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
  • E. SX
    SX is the two-letter ISO 3166-1 alpha-2 country code assigned to Sint Maarten, a constituent country of the Kingdom of the Netherlands in the Caribbean.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7237aa0819092b3679a318223ba completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcc8596888190867bb0f298b6fac1 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd14de9408190a5522fbdbef4d748 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 5:57 p.m.