Triple

T20729901
Position Surface form Disambiguated ID Type / Status
Subject Emmendingen (district) E509544 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object EM
EM is the vehicle registration code used on license plates for vehicles registered in the Emmendingen district of Germany.
 E1447081 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: EM | Statement: [Emmendingen (district), vehicleRegistrationCode, EM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EM
Context triple: [Emmendingen (district), vehicleRegistrationCode, EM]
  • A. EM
    EM is the vehicle registration code assigned to the Lemnos regional unit in Greece.
  • B. EM
    EM is the vehicle registration code assigned to the Syros-Ermoupoli municipality in Greece.
  • C. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • D. ME
    ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
  • E. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • 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: EM
Triple: [Emmendingen (district), vehicleRegistrationCode, EM]
Generated description
EM is the vehicle registration code used on license plates for vehicles registered in the Emmendingen district of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EM
Target entity description: EM is the vehicle registration code used on license plates for vehicles registered in the Emmendingen district of Germany.
  • A. EM
    EM is the vehicle registration code assigned to the Syros-Ermoupoli municipality in Greece.
  • B. EM
    EM is the vehicle registration code assigned to the Lemnos regional unit in Greece.
  • C. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • D. ME
    ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
  • E. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ec9820819093a07f90503686b2 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e060f4d8819097ca1dc0d59a610c completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e170755881909c73ebd2d7b00f0f completed May 16, 2026, 9:28 p.m.
NED2 Entity disambiguation (via description) batch_6a08e1e759ec8190a305662f220a1826 completed May 16, 2026, 9:30 p.m.
Created at: April 16, 2026, 12:30 p.m.