Triple

T6071785
Position Surface form Disambiguated ID Type / Status
Subject Sucre Department E135298 entity
Predicate hasISOCode P189 FINISHED
Object CO-SUC
CO-SUC is the ISO 3166-2 code that uniquely identifies Colombia’s Sucre Department in international and administrative contexts.
 E565835 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: CO-SUC | Statement: [Sucre Department, hasISOCode, CO-SUC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CO-SUC
Context triple: [Sucre Department, hasISOCode, CO-SUC]
  • A. CO-ANT
    CO-ANT is the administrative region code for the Antioquia Department in Colombia, used to identify municipalities such as Turbo within that jurisdiction.
  • B. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • C. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • D. COS
    COS is a Hubble Space Telescope instrument designed to study the origins and evolution of the universe by analyzing the ultraviolet light from distant astronomical objects.
  • E. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • 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: CO-SUC
Triple: [Sucre Department, hasISOCode, CO-SUC]
Generated description
CO-SUC is the ISO 3166-2 code that uniquely identifies Colombia’s Sucre Department in international and administrative contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CO-SUC
Target entity description: CO-SUC is the ISO 3166-2 code that uniquely identifies Colombia’s Sucre Department in international and administrative contexts.
  • A. CO-ANT
    CO-ANT is the administrative region code for the Antioquia Department in Colombia, used to identify municipalities such as Turbo within that jurisdiction.
  • B. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • C. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • D. COS
    COS is a Hubble Space Telescope instrument designed to study the origins and evolution of the universe by analyzing the ultraviolet light from distant astronomical objects.
  • E. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05758a21c81909cc10ef5f725a489 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3a37fc81909bbc1cdeec3205cf completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dc2becc8190991c444357755dec completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11ed987e08190bf7065d04d9c3a0c completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.