Triple

T1274798
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Industry and Security E15789 entity
Predicate administers P123 FINISHED
Object EAR
The EAR (Export Administration Regulations) are U.S. regulations that control the export and reexport of most commercial and dual-use items for reasons of national security, foreign policy, and trade protection.
 E145777 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: EAR | Statement: [Bureau of Industry and Security, administers, EAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EAR
Context triple: [Bureau of Industry and Security, administers, EAR]
  • A. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • B. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • C. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • D. EMA
    EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
  • E. EQ
    EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
  • 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: EAR
Triple: [Bureau of Industry and Security, administers, EAR]
Generated description
The EAR (Export Administration Regulations) are U.S. regulations that control the export and reexport of most commercial and dual-use items for reasons of national security, foreign policy, and trade protection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EAR
Target entity description: The EAR (Export Administration Regulations) are U.S. regulations that control the export and reexport of most commercial and dual-use items for reasons of national security, foreign policy, and trade protection.
  • A. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • B. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • C. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • D. EMA
    EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
  • E. EQ
    EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06ee22081908141868b57596e35 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2f6c8a08190ac6b1f477388adbb completed March 7, 2026, 10:13 p.m.
NEDg Description generation batch_69aca38229108190b8cc2e0ef5bc8667 completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca40068f08190a49f9cbb5c78b471 completed March 7, 2026, 10:17 p.m.
Created at: March 1, 2026, 7:50 p.m.