Triple

T15288606
Position Surface form Disambiguated ID Type / Status
Subject SFM Torino E365467 entity
Predicate hasAbbreviation P43 FINISHED
Object SFM
SFM is the abbreviation for the Turin Metropolitan Railway Service, a regional commuter rail network serving the metropolitan area of Turin, Italy.
 E1148990 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: SFM | Statement: [SFM Torino, hasAbbreviation, SFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFM
Context triple: [SFM Torino, hasAbbreviation, SFM]
  • A. SFM
    SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
  • 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 a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • E. SFS
    SFS is a common abbreviation for Allianz Stadium, a major sports and entertainment venue in Sydney, Australia.
  • 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: SFM
Triple: [SFM Torino, hasAbbreviation, SFM]
Generated description
SFM is the abbreviation for the Turin Metropolitan Railway Service, a regional commuter rail network serving the metropolitan area of Turin, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFM
Target entity description: SFM is the abbreviation for the Turin Metropolitan Railway Service, a regional commuter rail network serving the metropolitan area of Turin, Italy.
  • A. SFM
    SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
  • 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 a spatial feature standard that defines how geographic features and their properties are modeled and accessed in geospatial information systems.
  • E. SFS
    SFS is the commonly used abbreviation for the San Francisco Symphony, a major American orchestra based in San Francisco, California.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7b73a08190b06856c05ea8c80d completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef38868548190877cf25a38bb805a completed May 9, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69fef435b1208190bd839297a2f8d3f4 completed May 9, 2026, 8:45 a.m.
Created at: April 10, 2026, 3:15 a.m.