Triple

T6083325
Position Surface form Disambiguated ID Type / Status
Subject Cavan E135574 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object CN
CN is the vehicle registration code used for County Cavan in Ireland.
 E566708 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: CN | Statement: [Cavan, vehicleRegistrationCode, CN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CN
Context triple: [Cavan, vehicleRegistrationCode, CN]
  • A. CN
    CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
  • B. CN
    CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
  • C. Simplified Chinese
    Simplified Chinese is a standardized form of written Chinese that uses characters with reduced strokes, primarily employed in mainland China and Singapore.
  • D. Zhong Wen
    Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
  • E. CN-HL
    CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
  • 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: CN
Triple: [Cavan, vehicleRegistrationCode, CN]
Generated description
CN is the vehicle registration code used for County Cavan in Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CN
Target entity description: CN is the vehicle registration code used for County Cavan in Ireland.
  • A. CN
    CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
  • B. CN
    CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
  • C. Simplified Chinese
    Simplified Chinese is a standardized form of written Chinese that uses characters with reduced strokes, primarily employed in mainland China and Singapore.
  • D. Zhong Wen
    Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
  • E. CN-HL
    CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05786233c81909010a6c2f7e7dfda completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d57b5f481908d7df374837a486a completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11e89c75481908381df126a7b1661 completed March 23, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69c11ef6971c8190b8dde5568b330b41 completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.