Triple

T7985983
Position Surface form Disambiguated ID Type / Status
Subject Google File System E185682 entity
Predicate alsoKnownAs P39 FINISHED
Object GFS
GFS is a scalable, fault-tolerant distributed file system developed by Google to efficiently manage large data-intensive applications across many commodity servers.
 E702632 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: GFS | Statement: [Google File System, alsoKnownAs, GFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GFS
Context triple: [Google File System, alsoKnownAs, GFS]
  • A. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • B. CGFS
    CGFS is an international central bank forum that monitors and analyzes global financial system developments to promote stability and effective policy responses.
  • C. GSFS
    GSFS is the commonly used abbreviation for the Graduate School of Frontier Sciences, an interdisciplinary graduate school focused on advanced and emerging scientific fields.
  • D. FGS
    FGS is a high-precision optical instrument used on space telescopes to maintain accurate pointing and stabilization during observations.
  • E. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • 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: GFS
Triple: [Google File System, alsoKnownAs, GFS]
Generated description
GFS is a scalable, fault-tolerant distributed file system developed by Google to efficiently manage large data-intensive applications across many commodity servers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GFS
Target entity description: GFS is a scalable, fault-tolerant distributed file system developed by Google to efficiently manage large data-intensive applications across many commodity servers.
  • A. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • B. CGFS
    CGFS is an international central bank forum that monitors and analyzes global financial system developments to promote stability and effective policy responses.
  • C. GSFS
    GSFS is the commonly used abbreviation for the Graduate School of Frontier Sciences, an interdisciplinary graduate school focused on advanced and emerging scientific fields.
  • D. FGS
    FGS is a high-precision optical instrument used on space telescopes to maintain accurate pointing and stabilization during observations.
  • E. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4b87e48190a797f5363c8f0a04 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e6f3c48190a0132fa90eec6420 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:15 p.m.