Triple

T9498764
Position Surface form Disambiguated ID Type / Status
Subject Neustadt an der Waldnaab (district) E229079 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object VOH
VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
 E802925 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: VOH | Statement: [Neustadt an der Waldnaab (district), vehicleRegistrationCode, VOH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VOH
Context triple: [Neustadt an der Waldnaab (district), vehicleRegistrationCode, VOH]
  • A. VOHS
    VOHS is the ICAO airport code for Rajiv Gandhi International Airport serving Hyderabad, India.
  • B. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • C. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • D. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • E. VOCI
    VOCI is the ICAO airport code for Cochin International Airport in Kochi, India, a major international gateway in the state of Kerala.
  • 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: VOH
Triple: [Neustadt an der Waldnaab (district), vehicleRegistrationCode, VOH]
Generated description
VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VOH
Target entity description: VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
  • A. VOHS
    VOHS is the ICAO airport code for Rajiv Gandhi International Airport serving Hyderabad, India.
  • B. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • C. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • D. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • E. VOCI
    VOCI is the ICAO airport code for Cochin International Airport in Kochi, India, a major international gateway in the state of Kerala.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983a94c48190a7ddf95a953c4ecc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d412a008190adc82e1e3d56d107 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d1313e3bac819097169f2f34cb19b4 completed April 4, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_69d131a254b08190a071e838c3e56513 completed April 4, 2026, 3:43 p.m.
Created at: March 30, 2026, 7:56 p.m.