Triple

T2957010
Position Surface form Disambiguated ID Type / Status
Subject Scottish Football League E79955 entity
Predicate shortName P43 FINISHED
Object SFL
SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
E313502 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: SFL | Statement: [Scottish Football League, shortName, SFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SFL
Context triple: [Scottish Football League, shortName, SFL]
  • A. SLF
    SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
  • B. SFLC
    SFLC is a legal organization that provides pro bono counsel and advocacy to protect and advance free and open-source software.
  • C. FSL
    FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
  • D. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • E. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • 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: SFL
Triple: [Scottish Football League, shortName, SFL]
Generated description
SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SFL
Target entity description: SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
  • A. SLF
    SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
  • B. SFLC
    SFLC is a legal organization that provides pro bono counsel and advocacy to protect and advance free and open-source software.
  • C. FSL
    FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
  • D. SFS
    SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
  • E. SFS
    SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992998f08190ac9428310983172e completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc8a10848190b8eec482252eb76b completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd407bd08190b62788e8d1cdd205 completed March 11, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b0fd91541c8190a481b55eb9b0ac35 completed March 11, 2026, 5:28 a.m.
Created at: March 8, 2026, 2:57 p.m.