Triple

T12726428
Position Surface form Disambiguated ID Type / Status
Subject Turek E304119 entity
Predicate carPlatesCode P1173 FINISHED
Object PTU
PTU is the vehicle registration code used on car license plates issued in Turek, a town in central Poland.
 E1000476 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: PTU | Statement: [Turek, carPlatesCode, PTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PTU
Context triple: [Turek, carPlatesCode, PTU]
  • A. PTA
    PTA is the National Rail station code for Port Talbot Parkway railway station in Port Talbot, Wales.
  • B. PT
    PT is the time standard used along the west coast of North America, including cities like Los Angeles, San Francisco, and Vancouver.
  • C. PT
    PT is a major left-wing political party in Brazil formally known as the Workers' Party (Partido dos Trabalhadores), historically associated with labor movements and the presidencies of Luiz Inácio Lula da Silva and Dilma Rousseff.
  • D. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • E. PTP
    PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
  • 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: PTU
Triple: [Turek, carPlatesCode, PTU]
Generated description
PTU is the vehicle registration code used on car license plates issued in Turek, a town in central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PTU
Target entity description: PTU is the vehicle registration code used on car license plates issued in Turek, a town in central Poland.
  • A. PTA
    PTA is the National Rail station code for Port Talbot Parkway railway station in Port Talbot, Wales.
  • B. PT
    PT is the time standard used along the west coast of North America, including cities like Los Angeles, San Francisco, and Vancouver.
  • C. PT
    PT is a major left-wing political party in Brazil formally known as the Workers' Party (Partido dos Trabalhadores), historically associated with labor movements and the presidencies of Luiz Inácio Lula da Silva and Dilma Rousseff.
  • D. PT
    PT is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Portugal in international standards and systems.
  • E. PTP
    PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c884bd08190bf0022e8303a4987 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ececce8819080335e67bd747057 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:25 p.m.