Triple

T9189312
Position Surface form Disambiguated ID Type / Status
Subject Morąg E220539 entity
Predicate carPlates P1173 FINISHED
Object NOS
NOS is the regional vehicle registration code used on license plates for cars registered in the town of Morąg in Poland.
 E783849 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: NOS | Statement: [Morąg, carPlates, NOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NOS
Context triple: [Morąg, carPlates, NOS]
  • A. NOS
    NOS is the commonly used acronym for the National Ocean Service, a U.S. agency responsible for providing science, data, and services to understand and manage the nation’s oceans and coasts.
  • B. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • C. NOSPR
    NOSPR is the leading Polish National Radio Symphony Orchestra, renowned for its performances of classical and contemporary music and its prominent role in Poland’s cultural life.
  • D. Nos
    Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
  • E. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • 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: NOS
Triple: [Morąg, carPlates, NOS]
Generated description
NOS is the regional vehicle registration code used on license plates for cars registered in the town of Morąg in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NOS
Target entity description: NOS is the regional vehicle registration code used on license plates for cars registered in the town of Morąg in Poland.
  • A. NOS
    NOS is the commonly used acronym for the National Ocean Service, a U.S. agency responsible for providing science, data, and services to understand and manage the nation’s oceans and coasts.
  • B. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • C. NOSPR
    NOSPR is the leading Polish National Radio Symphony Orchestra, renowned for its performances of classical and contemporary music and its prominent role in Poland’s cultural life.
  • D. Nos
    Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
  • E. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • 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.