Triple

T10797362
Position Surface form Disambiguated ID Type / Status
Subject San Luis Province E254744 entity
Predicate ISO3166-2Code P208 FINISHED
Object AR-D
AR-D is the ISO 3166-2 subdivision code assigned to Argentina’s San Luis Province.
 E885631 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: AR-D | Statement: [San Luis Province, ISO3166-2Code, AR-D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AR-D
Context triple: [San Luis Province, ISO3166-2Code, AR-D]
  • A. AR
    AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast region.
  • B. AR
    AR is the commonly used abbreviation for Adventist Review, a leading magazine of the Seventh-day Adventist Church.
  • C. AR
    AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
  • D. AR
    AR is the official two-letter United States Postal Service abbreviation for the state of Arkansas.
  • E. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • 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: AR-D
Triple: [San Luis Province, ISO3166-2Code, AR-D]
Generated description
AR-D is the ISO 3166-2 subdivision code assigned to Argentina’s San Luis Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AR-D
Target entity description: AR-D is the ISO 3166-2 subdivision code assigned to Argentina’s San Luis Province.
  • A. AR
    AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
  • B. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • C. AR
    AR is the official two-letter United States Postal Service abbreviation for the state of Arkansas.
  • D. AR
    AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast region.
  • E. AR
    AR is the commonly used abbreviation for Adventist Review, a leading magazine of the Seventh-day Adventist Church.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73333dc4081909faa40c10bce2735 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de566352608190ab15e3a4b690c9a5 completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.