Triple

T5951802
Position Surface form Disambiguated ID Type / Status
Subject Pazardzhik E132414 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object PA
PA is the vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
E557886 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: PA | Statement: [Pazardzhik, vehicleRegistrationCode, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PA
Context triple: [Pazardzhik, vehicleRegistrationCode, PA]
  • A. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • B. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • C. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • D. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • E. PA
    The Palestinian Authority is an interim self-governing body established to administer parts of the West Bank and Gaza Strip as part of the Israeli-Palestinian peace process.
  • 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: PA
Triple: [Pazardzhik, vehicleRegistrationCode, PA]
Generated description
PA is the vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PA
Target entity description: PA is the vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
  • A. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • B. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • C. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • D. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • E. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03981d88c8190838998494ad50a19 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e781af588190a8f5572a03b24822 completed March 23, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69c0e7f767f8819086026b95c4534733 completed March 23, 2026, 7:12 a.m.
Created at: March 22, 2026, 4:02 p.m.