Triple

T16652989
Position Surface form Disambiguated ID Type / Status
Subject Poprad E404653 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PP
PP is the vehicle registration code used on license plates for the city of Poprad in Slovakia.
 E1226635 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: PP | Statement: [Poprad, vehicleRegistrationCode, PP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PP
Context triple: [Poprad, vehicleRegistrationCode, PP]
  • A. PP
    The ITU Plenipotentiary Conference (PP) is the top policy-making body of the International Telecommunication Union, where member states set the Union’s general policies, strategic direction, and leadership.
  • B. PP
    PP is the common abbreviation for Pemuda Pancasila, an Indonesian nationalist paramilitary youth organization known for its political influence and controversial role in the country’s history.
  • C. PP
    PP is the common abbreviation for the Préfecture de police de Paris, the main police authority responsible for law enforcement and public safety in Paris and its surrounding area.
  • D. PP
    PP is the common abbreviation for the Polizia Penitenziaria, Italy’s national prison police force responsible for managing correctional facilities and inmate security.
  • E. PP
    PP is the commonly used abbreviation for Poznań University of Technology, a major technical university located in Poznań, Poland.
  • 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: PP
Triple: [Poprad, vehicleRegistrationCode, PP]
Generated description
PP is the vehicle registration code used on license plates for the city of Poprad in Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PP
Target entity description: PP is the vehicle registration code used on license plates for the city of Poprad in Slovakia.
  • A. PP
    PP is the commonly used abbreviation for Poznań University of Technology, a major technical university located in Poznań, Poland.
  • B. PP
    PP is the common abbreviation for the Polizia Penitenziaria, Italy’s national prison police force responsible for managing correctional facilities and inmate security.
  • C. PP
    PP is the common abbreviation for the Préfecture de police de Paris, the main police authority responsible for law enforcement and public safety in Paris and its surrounding area.
  • D. PP
    PP is the common abbreviation for Pemuda Pancasila, an Indonesian nationalist paramilitary youth organization known for its political influence and controversial role in the country’s history.
  • E. PP
    PP is the commonly used abbreviation for the People's Party, a major conservative political party in Spain.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf861348190b2b0b5574d4ddb4f completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c4c6a08190874264b2840fc70d completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a00867b9314819080775dff976f93bd completed May 10, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_6a00874646c081908d8a83dd8fd44941 completed May 10, 2026, 1:25 p.m.
Created at: April 10, 2026, 5:18 a.m.