Triple

T9587814
Position Surface form Disambiguated ID Type / Status
Subject Aragon E231334 entity
Predicate ISO3166-2 P189 FINISHED
Object ES-AR
ES-AR is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Aragon within Spain.
 E808528 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: ES-AR | Statement: [Aragon, ISO3166-2, ES-AR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ES-AR
Context triple: [Aragon, ISO3166-2, ES-AR]
  • A. ES-EX
    ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
  • B. ES-LE
    ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
  • C. ES-MA
    ES-MA is the ISO 3166-2 code that uniquely identifies Spain’s Province of Málaga for administrative and data-processing purposes.
  • D. ES-IB
    ES-IB is the ISO 3166-2 code representing the Spanish Balearic Islands province that includes Formentera.
  • E. ESRA
    ESRA is a U.S. federal law that overhauled education research and statistics, creating the Institute of Education Sciences to improve the quality and use of evidence in education policy and practice.
  • 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: ES-AR
Triple: [Aragon, ISO3166-2, ES-AR]
Generated description
ES-AR is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Aragon within Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ES-AR
Target entity description: ES-AR is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Aragon within Spain.
  • A. ES-EX
    ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
  • B. ES-LE
    ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
  • C. ES-MA
    ES-MA is the ISO 3166-2 code that uniquely identifies Spain’s Province of Málaga for administrative and data-processing purposes.
  • D. ES-IB
    ES-IB is the ISO 3166-2 code representing the Spanish Balearic Islands province that includes Formentera.
  • E. ESRA
    ESRA is a U.S. federal law that overhauled education research and statistics, creating the Institute of Education Sciences to improve the quality and use of evidence in education policy and practice.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f01ca08190afaa44645a58e918 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1618251c48190886190975dfde5ac completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d16230a99481909d82d03babe6729a completed April 4, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69d16321aba88190a7e8359dbaa5362b completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 8:06 p.m.