Triple

T2868062
Position Surface form Disambiguated ID Type / Status
Subject Senior Foreign Service E63487 entity
Predicate hasAbbreviation P43 FINISHED
Object SFS
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
 E306014 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: SFS | Statement: [Senior Foreign Service, hasAbbreviation, SFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFS
Context triple: [Senior Foreign Service, hasAbbreviation, SFS]
  • A. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • B. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • C. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • D. SFM
    SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
  • E. DSF
    DSF was a mass organization in East Germany dedicated to promoting political, cultural, and social ties between the German Democratic Republic and the Soviet Union.
  • 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: SFS
Triple: [Senior Foreign Service, hasAbbreviation, SFS]
Generated description
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFS
Target entity description: SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • A. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • B. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • C. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • D. SFM
    SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
  • E. DSF
    DSF was a mass organization in East Germany dedicated to promoting political, cultural, and social ties between the German Democratic Republic and the Soviet Union.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfdfef1881909dc52a1b34cd24e3 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da85930819092d19a5e712cfa18 completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b01e34639c8190b1c6e8a14cd31d96 completed March 10, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69b01f5a6784819089499926fb115d9c completed March 10, 2026, 1:40 p.m.
Created at: March 6, 2026, 10:02 p.m.