Triple

T15538821
Position Surface form Disambiguated ID Type / Status
Subject Vogtlandkreis E370419 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object OV
OV is the vehicle registration code used on license plates for the Vogtlandkreis district in the German state of Saxony.
 E1162168 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: OV | Statement: [Vogtlandkreis, vehicleRegistrationCode, OV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OV
Context triple: [Vogtlandkreis, vehicleRegistrationCode, OV]
  • A. OD
    OD is an upcoming experimental horror video game from Kojima Productions, led by Hideo Kojima and developed in collaboration with Xbox Game Studios.
  • B. OD
    OD is the abbreviation for the Ordedienst, a Dutch underground resistance organization that operated during World War II.
  • C. OD
    OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
  • D. OD
    OD is a post-nominal title signifying a national honor awarded by the Jamaican honours and awards system.
  • E. OW
    OW is the official vehicle registration code used on license plates for the Swiss canton of Obwalden.
  • 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: OV
Triple: [Vogtlandkreis, vehicleRegistrationCode, OV]
Generated description
OV is the vehicle registration code used on license plates for the Vogtlandkreis district in the German state of Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OV
Target entity description: OV is the vehicle registration code used on license plates for the Vogtlandkreis district in the German state of Saxony.
  • A. OD
    OD is an upcoming experimental horror video game from Kojima Productions, led by Hideo Kojima and developed in collaboration with Xbox Game Studios.
  • B. OD
    OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
  • C. OD
    OD is the abbreviation for the Ordedienst, a Dutch underground resistance organization that operated during World War II.
  • D. OD
    OD is a post-nominal title signifying a national honor awarded by the Jamaican honours and awards system.
  • E. OW
    OW is the official vehicle registration code used on license plates for the Swiss canton of Obwalden.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04430b5188190a555a3cd4fb0c61c completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d626e688190bd93481cfd6cb255 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f075bb881908c254137ca7c3f9f completed May 9, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f87f788819080eccae52b0df145 completed May 9, 2026, 2:07 p.m.
Created at: April 10, 2026, 4:07 a.m.