Triple

T14724532
Position Surface form Disambiguated ID Type / Status
Subject Peine E345903 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PE
PE is the vehicle registration code used on license plates for the district of Peine in Lower Saxony, Germany.
 E1115386 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: PE | Statement: [Peine, vehicleRegistrationCode, PE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PE
Context triple: [Peine, vehicleRegistrationCode, PE]
  • A. PE
    PE is the official vehicle registration code for the Brazilian state of Pernambuco.
  • B. PE
    PE is a postcode area in eastern England covering parts of Cambridgeshire, Lincolnshire, Norfolk, and surrounding counties.
  • C. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • D. PE
    PE is the official two-letter postal abbreviation used for Prince Edward Island, a Canadian province.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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: PE
Triple: [Peine, vehicleRegistrationCode, PE]
Generated description
PE is the vehicle registration code used on license plates for the district of Peine in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PE
Target entity description: PE is the vehicle registration code used on license plates for the district of Peine in Lower Saxony, Germany.
  • A. PE
    PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
  • B. PE
    PE is the official two-letter postal abbreviation used for Prince Edward Island, a Canadian province.
  • C. PE
    PE is a postcode area in eastern England covering parts of Cambridgeshire, Lincolnshire, Norfolk, and surrounding counties.
  • D. PE
    PE is the official vehicle registration code for the Brazilian state of Pernambuco.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf32c1ec48190b28fb67e00b87fcd completed May 8, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_69fdf3cfd7b48190b5d6177c5bf0e42e completed May 8, 2026, 2:31 p.m.
Created at: April 10, 2026, 1:29 a.m.