Triple

T14086360
Position Surface form Disambiguated ID Type / Status
Subject Service Management Facility E339007 entity
Predicate alsoKnownAs P39 FINISHED
Object SMF
SMF is an acronym commonly used for the Service Management Facility, a framework in Solaris operating systems for managing system and application services.
 E1080890 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: SMF | Statement: [Service Management Facility, alsoKnownAs, SMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMF
Context triple: [Service Management Facility, alsoKnownAs, SMF]
  • A. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • B. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • C. SMI
    SMI is the IATA airport code for Samos International Airport, the main air gateway to the Greek island of Samos.
  • D. SMI
    SMI is the station code used to designate the Smithsonian Metro station in Washington, D.C.'s rapid transit system.
  • E. SMI
    SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
  • 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: SMF
Triple: [Service Management Facility, alsoKnownAs, SMF]
Generated description
SMF is an acronym commonly used for the Service Management Facility, a framework in Solaris operating systems for managing system and application services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMF
Target entity description: SMF is an acronym commonly used for the Service Management Facility, a framework in Solaris operating systems for managing system and application services.
  • A. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • B. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • C. SMI
    SMI is the IATA airport code for Samos International Airport, the main air gateway to the Greek island of Samos.
  • D. SMI
    SMI is the station code used to designate the Smithsonian Metro station in Washington, D.C.'s rapid transit system.
  • E. SMI
    SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2ae45108190b1f400e4ae16a258 completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:21 p.m.