Triple

T7858250
Position Surface form Disambiguated ID Type / Status
Subject System File Checker E182430 entity
Predicate abbreviation P43 FINISHED
Object SFC
SFC is a Windows utility that scans for and repairs corrupted or missing system files to help maintain operating system stability.
 E695768 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: SFC | Statement: [System File Checker, abbreviation, SFC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFC
Context triple: [System File Checker, abbreviation, SFC]
  • A. SFV
    SFV is the abbreviated name for the National Property Board of Sweden, the government agency responsible for managing state-owned real estate and cultural heritage properties.
  • B. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • C. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • D. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • E. SPFC
    SPFC is a Brazilian professional football club based in São Paulo, widely recognized as one of the country's most successful and traditional teams.
  • 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: SFC
Triple: [System File Checker, abbreviation, SFC]
Generated description
SFC is a Windows utility that scans for and repairs corrupted or missing system files to help maintain operating system stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFC
Target entity description: SFC is a Windows utility that scans for and repairs corrupted or missing system files to help maintain operating system stability.
  • A. SFV
    SFV is the abbreviated name for the National Property Board of Sweden, the government agency responsible for managing state-owned real estate and cultural heritage properties.
  • B. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • C. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • D. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • E. SPFC
    SPFC is a Brazilian professional football club based in São Paulo, widely recognized as one of the country's most successful and traditional teams.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a76f8648190976b488d0d8658ef completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b32eaf88190aae55aaeb963c50b completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb5f1c9ef08190b1b79482f39966c7 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb767b198481909cfc1f7a44e6f0d8 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:52 p.m.