Triple

T9190098
Position Surface form Disambiguated ID Type / Status
Subject Jeziorany E220559 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object NOL
NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
 E783892 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: NOL | Statement: [Jeziorany, vehicleRegistrationCode, NOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NOL
Context triple: [Jeziorany, vehicleRegistrationCode, NOL]
  • A. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • B. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • C. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • D. NOB
    NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
  • E. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • 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: NOL
Triple: [Jeziorany, vehicleRegistrationCode, NOL]
Generated description
NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NOL
Target entity description: NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
  • A. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • B. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • C. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • D. NOB
    NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
  • E. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cda59f88190bcde5a91aec2f9dd completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.