Triple

T11222097
Position Surface form Disambiguated ID Type / Status
Subject Rottal-Inn E265593 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object VIB
VIB is the vehicle registration code used for the Rottal-Inn district in the German state of Bavaria.
 E912154 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: VIB | Statement: [Rottal-Inn, hasVehicleRegistrationCode, VIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VIB
Context triple: [Rottal-Inn, hasVehicleRegistrationCode, VIB]
  • A. VIBK
    VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
  • B. VIBN
    VIBN is the ICAO airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • C. VEBI
    VEBI is the ICAO airport code for Shillong Airport, a domestic airport serving the city of Shillong in the Indian state of Meghalaya.
  • D. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • E. Vries
    Vries is a historic village in the Dutch province of Drenthe, known for its traditional Saxon farmhouses and rural character.
  • 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: VIB
Triple: [Rottal-Inn, hasVehicleRegistrationCode, VIB]
Generated description
VIB is the vehicle registration code used for the Rottal-Inn district in the German state of Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VIB
Target entity description: VIB is the vehicle registration code used for the Rottal-Inn district in the German state of Bavaria.
  • A. VIBK
    VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
  • B. VIBN
    VIBN is the ICAO airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • C. VEBI
    VEBI is the ICAO airport code for Shillong Airport, a domestic airport serving the city of Shillong in the Indian state of Meghalaya.
  • D. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • E. Vries
    Vries is a historic village in the Dutch province of Drenthe, known for its traditional Saxon farmhouses and rural character.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ec8fb08190b27144ab65f85957 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4977cab4481909c6b94ca07cd5e4a completed April 19, 2026, 8:51 a.m.
NEDg Description generation batch_69e49d38c2488190bfd4ba7772f534fe completed April 19, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.