Triple

T1359957
Position Surface form Disambiguated ID Type / Status
Subject French Guiana E29075 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object GUF
GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
 E155693 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: GUF | Statement: [French Guiana, ISO3166-1Alpha3, GUF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GUF
Context triple: [French Guiana, ISO3166-1Alpha3, GUF]
  • A. GUA
    GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • B. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • C. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • 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: GUF
Triple: [French Guiana, ISO3166-1Alpha3, GUF]
Generated description
GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GUF
Target entity description: GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • A. GUA
    GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • B. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • C. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. GDF
    GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b156b081909c99ada70a969fc0 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce725fec819085f6de8e6e368aa4 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf9ac120819084c21fb7b88c050a completed March 8, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69accffa9a40819083a3e55a5d83e040 completed March 8, 2026, 1:25 a.m.
Created at: March 1, 2026, 7:56 p.m.