Triple

T656393
Position Surface form Disambiguated ID Type / Status
Subject Jordan E11658 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object JOR
JOR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Hashemite Kingdom of Jordan.
 E82096 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: JOR | Statement: [Jordan, ISO3166-1Alpha3, JOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JOR
Context triple: [Jordan, ISO3166-1Alpha3, JOR]
  • A. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • D. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • E. Jos
    Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
  • 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: JOR
Triple: [Jordan, ISO3166-1Alpha3, JOR]
Generated description
JOR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Hashemite Kingdom of Jordan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JOR
Target entity description: JOR is the three-letter ISO 3166-1 alpha-3 country code assigned to the Hashemite Kingdom of Jordan.
  • A. JO chosen
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • D. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • E. Jos
    Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
  • F. None of above.

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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4e87408190b5276d2b913d0426 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3925a14819093336c4217c7e893 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c423047c8190acab387bd28ffa35 completed March 2, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd1dd7848190a987276500040a4f completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.