Triple

T2408978
Position Surface form Disambiguated ID Type / Status
Subject Linux Foundation E50341 entity
Predicate abbreviation P43 FINISHED
Object LF
LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
 E262478 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: LF | Statement: [Linux Foundation, abbreviation, LF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LF
Context triple: [Linux Foundation, abbreviation, LF]
  • A. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • B. LFPO
    LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • C. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. LIF
    LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
  • 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: LF
Triple: [Linux Foundation, abbreviation, LF]
Generated description
LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LF
Target entity description: LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • A. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • B. LFPO
    LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • C. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. LIF
    LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc925c6e481909bfd45b361d21963 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3edc63c8190ac6737bf28993f1b completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb4a5e9c481908426fe51343a1342 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb52bec1881909c589aea2af3684c completed March 9, 2026, 11:55 a.m.
Created at: March 4, 2026, 7:58 p.m.