Triple

T22631637
Position Surface form Disambiguated ID Type / Status
Subject TM Forum E558568 entity
Predicate abbreviation P43 FINISHED
Object TMF
TMF is the commonly used abbreviation for TM Forum, a global industry association for telecommunications and digital service providers.
 E1545540 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: TMF | Statement: [TM Forum, abbreviation, TMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMF
Context triple: [TM Forum, abbreviation, TMF]
  • A. TFM
    TFM is a font metric file format used primarily by TeX to store information about character dimensions and font layout.
  • B. TMO
    TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
  • C. TMB
    TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
  • D. TMB
    TMB is the main public transportation operator in the Barcelona metropolitan area, managing the city’s metro and bus networks.
  • E. TMN
    TMN is a standardized framework defined by the ITU for managing and monitoring telecommunication networks and 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: TMF
Triple: [TM Forum, abbreviation, TMF]
Generated description
TMF is the commonly used abbreviation for TM Forum, a global industry association for telecommunications and digital service providers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMF
Target entity description: TMF is the commonly used abbreviation for TM Forum, a global industry association for telecommunications and digital service providers.
  • A. TFM
    TFM is a font metric file format used primarily by TeX to store information about character dimensions and font layout.
  • B. TMO
    TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
  • C. TMB
    TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
  • D. TMB
    TMB is the main public transportation operator in the Barcelona metropolitan area, managing the city’s metro and bus networks.
  • E. TMN
    TMN is a standardized framework defined by the ITU for managing and monitoring telecommunication networks and 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17009ecb0819082f94505b0e2c5b8 completed April 29, 2026, 2:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4e0b2dd081909b063c50b18579c4 completed May 18, 2026, 5:36 p.m.
NEDg Description generation batch_6a0b4ed997448190a6fe89160ccc223b completed May 18, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4f8600448190a726d0fe91e17cff completed May 18, 2026, 5:42 p.m.
Created at: April 17, 2026, 3:02 p.m.