Triple

T17805001
Position Surface form Disambiguated ID Type / Status
Subject Prijepolje E444533 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PP
PP is the vehicle registration code used on license plates for vehicles registered in the municipality of Prijepolje in Serbia.
 E1288480 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: [Prijepolje, vehicleRegistrationCode, PP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PP
Context triple: [Prijepolje, 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: [Prijepolje, vehicleRegistrationCode, PP]
Generated description
PP is the vehicle registration code used on license plates for vehicles registered in the municipality of Prijepolje in Serbia.
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 vehicles registered in the municipality of Prijepolje in Serbia.
  • A. PP
    PP is the vehicle registration code used on license plates for the city of Poprad in Slovakia.
  • B. PP
    PP is the commonly used abbreviation for Poznań University of Technology, a major technical university located in Poznań, Poland.
  • 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 common abbreviation for Pemuda Pancasila, an Indonesian nationalist paramilitary youth organization known for its political influence and controversial role in the country’s history.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4880385b48190b8dea0f05dfa1300 completed April 19, 2026, 7:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f8452bc08190b25bdc91f3736e86 completed May 12, 2026, 9:52 a.m.
NEDg Description generation batch_6a02f9d944b8819095b6f9371f0f31bc completed May 12, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a02fac96df48190884a8bc8517fbee7 completed May 12, 2026, 10:02 a.m.
Created at: April 10, 2026, 10:14 a.m.