Triple

T1773915
Position Surface form Disambiguated ID Type / Status
Subject MFS E38935 entity
Predicate replacedBy P101 FINISHED
Object HFS
HFS (Hierarchical File System) is a classic file system developed by Apple for early Macintosh computers, organizing data in a tree-structured hierarchy with support for resource forks and metadata.
 E200272 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: HFS | Statement: [MFS, replacedBy, HFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HFS
Context triple: [MFS, replacedBy, HFS]
  • A. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • D. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • E. HSS
    HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
  • 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: HFS
Triple: [MFS, replacedBy, HFS]
Generated description
HFS (Hierarchical File System) is a classic file system developed by Apple for early Macintosh computers, organizing data in a tree-structured hierarchy with support for resource forks and metadata.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HFS
Target entity description: HFS (Hierarchical File System) is a classic file system developed by Apple for early Macintosh computers, organizing data in a tree-structured hierarchy with support for resource forks and metadata.
  • A. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • D. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • E. HSS
    HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b59428819082e0d43a61f4f299 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9982d208190b0c29ee1141e91b0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab0295b8819092cb51082337b97b completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaea83bfc8190a526d5f2bd460e4c completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.