Triple

T5350375
Position Surface form Disambiguated ID Type / Status
Subject Kupang E124162 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DH
DH is the regional vehicle registration code assigned to motor vehicles registered in Kupang, Indonesia.
E513941 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: DH | Statement: [Kupang, vehicleRegistrationCode, DH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DH
Context triple: [Kupang, vehicleRegistrationCode, DH]
  • A. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • B. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • C. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • D. DHR
    DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
  • E. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • 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: DH
Triple: [Kupang, vehicleRegistrationCode, DH]
Generated description
DH is the regional vehicle registration code assigned to motor vehicles registered in Kupang, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DH
Target entity description: DH is the regional vehicle registration code assigned to motor vehicles registered in Kupang, Indonesia.
  • A. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • B. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • C. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • D. DHR
    DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
  • E. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860fe4048190846a933d0e1b9386 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21d494b481909d7887cd85233815 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf230926348190b40f8a6105d64d54 completed March 21, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69bf243319448190a30d6e8847d3f4b8 completed March 21, 2026, 11:05 p.m.
Created at: March 20, 2026, 2:01 p.m.